---------------------------------------------------------------------------------       log:  /Users/erikgartzke/Documents/RESEARCH/Papers - End/2levelliberalism/> replication_beckley/capitalistpeace_012007.log  log type:  text opened on:  29 Jan 2007, 18:35:10. set matsize 160;. use jpr128;(all dyads 1950-92: 12-18-98). compress;. describe;Contains data from jpr128.dta  obs:       386,556                          all dyads 1950-92: 12-18-98 vars:            16                          17 Dec 1998 14:56 size:    15,848,796 (94.0% of memory free)-------------------------------------------------------------------------------              storage  display     valuevariable name   type   format      label      variable label-------------------------------------------------------------------------------statea          int    %4.0f                  COW Code for State Astateb          int    %4.0f                  COW Code for State Byear            int    %4.0f                  Calendar Yeardepa            float  %9.0g                  bilateral X+M/GDP for State Adepb            float  %9.0g                  bilateral X+M/GDP for State Bdemauta         byte   %9.0g                  DEMOC-AUTOC: Polity III, 5-96demautb         byte   %9.0g                  DEMOC-AUTOC: Polity III, 5-96conttype        byte   %9.0g                  type of contig: 1=by landalliesr         byte   %9.0g                  states a&b formally allied=1onset1          byte   %9.0g                  onset of dispute in year+1yrspeace        byte   %8.0g                  Time since last onset1logdstab        float  %9.0g                  ln of capital to capital distanlncaprt         float  %9.0g                  ln of COW capability ratioimputed         byte   %9.0g                  =1 if missing trade set to 0depa_np         float  %9.0g                  X+M/GDP, in national pricesdepb_np         float  %9.0g                  X+M/GDP, in national prices-------------------------------------------------------------------------------Sorted by:  statea  stateb  year. summarize;    Variable |       Obs        Mean    Std. Dev.       Min        Max-------------+--------------------------------------------------------      statea |    386556    302.4356    209.1978          2        987      stateb |    386556    596.4104    206.1538         20        990        year |    386556    1976.221    10.99428       1950       1992        depa |    371857     .001133    .0100117          0   1.823015        depb |    367532    .0024756    .0159238          0   1.503916-------------+--------------------------------------------------------     demauta |    340352    .1338555    7.890643        -10         10     demautb |    346764   -1.976526    7.483284        -10         10    conttype |    386556    .1257075    .6776591          0          5     alliesr |    386556    .1203189    .3253345          0          1      onset1 |    368493    .0038264    .0617395          0          1-------------+--------------------------------------------------------    yrspeace |    368493    14.85574    10.59822          0         41    logdstab |    382786    8.243676    .7826219   1.871744   9.422935     lncaprt |    385330    2.185363    1.731572          0   12.45231     imputed |    219457           1           0          1          1     depa_np |    370483    .0009218    .0089927          0   1.167194-------------+--------------------------------------------------------     depb_np |    366090    .0019629    .0138997          0   1.215465. *comment:  unique identifier for dyad year;. gen long dyadidyr=((statea*1000000)+(stateb*1000)+(year-1000));. la var dyadidyr "ID - unique dyad year identifier";. *comment:  unique identifier for dyad;. gen long dyadid=((statea*1000)+stateb);. la var dyadid "ID - unique dyad identifier";. *comment:  unique identifier for country year A;. gen long cntryera=((statea*10000)+year);. la var cntryera "ID - country year A";. *comment:  unique identifier for country year B;. gen long cntryerb=((stateb*10000)+year);. la var cntryerb "ID - country year B";. la var statea "ID - COW code for state A";. la var stateb "ID - COW code for state B";. la var year "ID - current year";. sort dyadidyr;. *comment:  identifying Oneal and Russett's data;. la var onset1 "O&R - onset of dispute in year + 1";. la var demauta "O&R - DEMOC-AUTOC: Polity III, 5-96";. la var demautb "O&R - DEMOC-AUTOC: Polity III, 5-96";. la var depa "O&R - bilateral X+M/GDP for State A";. la var depb "O&R - bilateral X+M/GDP for State B";. la var imputed "O&R - =1 if missing trade set to 0";. la var depa_np "O&R - X+M/GDP, in national prices";. la var depb_np "O&R - X+M/GDP, in national prices";. la var alliesr "O&R - states a&b formally allied=1";. la var conttype "O&R - type of contig: 1=by land";. la var logdstab "O&R - ln of capital to capital distan";. la var lncaprt "O&R - ln of COW capability ratio";. la var yrspeace "O&R - Time since last onset1";. *comment:  OPERATIONALIZING DEMOCRACY;. *comment:  generating Oneal and Russett variables, Table 1 & 2;. *comment:  normalize dem values on 0 to 10 scale;. *replace demauta=((demauta+10)/2);. *replace demautb=((demautb+10)/2);. *comment:  lower of dyadic democracy scores, Table 1 & 2;. gen demlo=demauta if demauta<=demautb & demauta~=. & demautb~=.;(236320 missing values generated). replace demlo=demautb if demauta>demautb & demauta~=. & demautb~=.;(155946 real changes made). la var demlo "DEM - Lower of dyadic scores";. *comment:  higher of dyadic democracy scores, Table 1 & 2;. gen demhi=demauta if demauta>demautb & demauta~=. & demautb~=.;(230610 missing values generated). replace demhi=demautb if demauta<=demautb & demauta~=. & demautb~=.;(150236 real changes made). la var demhi "DEM - Higher of dyadic scores";. *comment:  joint dyadic democracy - Appendix;. gen jntdem=(demauta*demautb);(80374 missing values generated). la var jntdem "DEM - Product of dyadic scores";. *comment:  dichotomous democracy vars - Appendix;. gen demdumya=1 if demauta>7 & demauta~=.;(268829 missing values generated). replace demdumya=0 if demauta<=7 & demauta~=.;(222625 real changes made). gen demdumyb=1 if demautb>7 & demautb~=.;(303789 missing values generated). replace demdumyb=0 if demautb<=7 & demautb~=.;(263997 real changes made). gen demdumy2=1 if demdumya==1 & demdumyb==1;(360733 missing values generated). replace demdumy2=0 if demdumya==0;(222625 real changes made). replace demdumy2=0 if demdumyb==0;(109472 real changes made). la var demdumy2 "DEM - dummy both demaut>7";. gen demdumy1=1 if demdumya==1;(268829 missing values generated). replace demdumy1=1 if demdumyb==1;(56944 real changes made). replace demdumy1=0 if demdumya==0 & demdumyb==0;(154525 real changes made). la var demdumy1 "DEM - dummy either demaut>7";. drop demdumya demdumyb;. *comment:  OPERATIONALIZING MARKETS;. *comment:  lower of dyadic trade dependence scores, Table 1 & 2;. gen deplo=depa if depa<=depb & depa~=. & depb~=.;(81568 missing values generated). replace deplo=depb if depa>depb & depa~=. & depb~=.;(52004 real changes made). la var deplo "IDEP - Lower of dyadic scores";. *comment:  higher of dyadic dependence scores;. gen dephi=depa if depa>depb & depa~=. & depb~=.;(334552 missing values generated). replace dephi=depb if depa<=depb & depa~=. & depb~=.;(304988 real changes made). la var dephi "IDEP - Higher of dyadic scores";. *comment:   joint dependence;. gen jntdep=depa*depb;(29564 missing values generated). la var jntdep "IDEP - Product of dyadic scores";. *comment:  lower of dyadic national price dependence scores, Gleditsch - Append> ix;. gen deplo_np=depa_np if depa_np<=depb_np & depa_np~=. & depb_np~=.;(84661 missing values generated). replace deplo_np=depb_np if depa_np>depb_np & depa_np~=. & depb_np~=.;(52665 real changes made). la var deplo_np "IDEP - Lower dyadic np score";. *comment:  higher of dyadic national price dependence scores;. gen dephi_np=depa_np if depa_np>depb_np & depa_np~=. & depb_np~=.;(333891 missing values generated). replace dephi_np=depb_np if depa_np<=depb_np & depa_np~=. & depb_np~=.;(301895 real changes made). la var dephi_np "IDEP - Higher dyadic np score";. *comment:  interdependence national prices;. gen jtdep_np=depa_np*depb_np;(31996 missing values generated). la var jtdep_np "IDEP - Product dyadic np score";. *comment:  OPERATIONALIZING CONTIGUITY;. *comment:  calculate contiguity for states separated by less than 150 mi of > water, Table 1 & 2;. gen contig=1 if conttype<=4 & conttype>0 & conttype~=.;(372345 missing values generated). replace contig=0 if contig==.;(372345 real changes made). la var contig "DISTANCE - contiguity dummy";. *comment:  OPERATIONALIZING MAJOR POWER;. *comment:  identify major power dyads, Table 1 & 2 ;. gen majpdyds=1 if (statea==2 | statea==200 | statea==220 | statea==365 | > statea==710 | stateb==2 | stateb==200 | stateb==220 | stateb==365 | > stateb==710);(359056 missing values generated). replace majpdyds=0 if majpdyds==.;(359056 real changes made). la var majpdyds "CAP - Major power in dyad";. *comment:  constructing the Oneal and Russett version of the temporal spline, s> ee Beck, Katz, and Tucker 1998;. replace onset1=0 if onset1==.;(18063 real changes made). *btscs onset1 year statea stateb, g(orypeace) nspline(4);. *ren _spline1 peaceyr1;. *ren _spline2 peaceyr2;. *ren _spline3 peaceyr3;. *ren _spline4 peaceyr4;. sort dyadidyr;. mkspline peaceyr 4 = yrspeace, marginal;. iis dyadid;. tis year;. drop demauta demautb depa depb imputed conttype depa_np depb_np dephi_np deplo_> np jtdep_np yrspeace peaceyr1 peaceyr2 peaceyr3 peaceyr4;. compress;demlo was float now bytedemhi was float now bytejntdem was float now bytedemdumy2 was float now bytedemdumy1 was float now bytecontig was float now bytemajpdyds was float now byte. sort dyadidyr;. order dyadidyr dyadid cntryera cntryerb statea stateb year demlo demhi jntdem d> emdumy2 demdumy1 deplo dephi > jntdep alliesr contig logdstab lncaprt majpdyds;. save capitalistpeace_012007.dta, replace;file capitalistpeace_012007.dta saved. *comment:  OPERATIONALIZING THE DEPENDENT VARIABLE;. *comment:  add Maoz dyadic MID variables;. *comment:  first prepare the Maoz MID data;. use dyadmid60.dta;. keep STATEA STATEB YEAR FATLEV HIHOST RECIP;. gen maoznew=1;. ren STATEA statea;. ren STATEB stateb;. ren YEAR year;. ren FATLEV fatlev;. ren HIHOST hihost;. ren RECIP recip;. gen long dyadidyr=((statea*1000000)+(stateb*1000)+(year-1000));. replace fatlev=. if fatlev==-9;(407 real changes made, 407 to missing). replace recip=1 if recip==-1;(2965 real changes made). sort dyadidyr;. compress;statea was float now intstateb was float now intyear was float now intfatlev was float now bytehihost was float now byterecip was float now bytemaoznew was float now byte. order dyadidyr statea stateb year maoznew fatlev hihost recip;. save maozmid.dta, replace;(note: file maozmid.dta not found)file maozmid.dta saved. *comment:  must first remove duplicate MID dyadyears;. use maozmid.dta;. egen highhost=max(hihost), by(dyadidyr);. drop hihost;. ren highhost hihost;. sort dyadidyr;. egen reciproc=max(recip), by(dyadidyr);. drop recip;. ren reciproc recip;. sort dyadidyr;. egen fatlevl=max(fatlev), by(dyadidyr);(297 missing values generated). drop fatlev;. ren fatlevl fatlev;. sort dyadidyr;. drop if dyadidyr==dyadidyr[_n-1];(547 observations deleted). sort dyadidyr;. save temp.dta, replace;(note: file temp.dta not found)file temp.dta saved. erase maozmid.dta;. *comment:  must add maoz data to dyad pop. and calculate leading dep. variable;. use dyadsamp.dta;. dyadtscs id year if year>1948 & year<1994, data(tempdyad);                        DYADTSCS: A Program to Generate                                    Dyadic Time-Series--Cross-Section Data                                                            Please be patient. . .                                             You will be informed when the program is finished!            DYADTSCS started   at 18:35:27 on 29 Jan 2007       DYADTSCS completed at 18:35:54 on 29 Jan 2007                   Contains data from tempdyad.dta  obs:       407,618                          Undirected dyad years,1949-1993 vars:             3                          29 Jan 2007 18:35 size:     4,076,180 (98.4% of memory free)-------------------------------------------------------------------------------              storage  display     valuevariable name   type   format      label      variable label-------------------------------------------------------------------------------ida             int    %9.0g                  Cross-Section Unit 1 (id1)idb             int    %9.0g                  Cross-Section Unit 2 (id2)year            int    %9.0g                  Time-Series Unit (year)-------------------------------------------------------------------------------Sorted by:  ida  idb  year. ren ida statea;. ren idb stateb;. gen long dyadidyr=((statea*1000000)+(stateb*1000)+(year-1000));. sort dyadidyr;. merge dyadidyr using temp.dta;. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          1 |    405,702       99.08       99.08          2 |      1,852        0.45       99.53          3 |      1,916        0.47      100.00------------+-----------------------------------      Total |    409,470      100.00. drop if _merge==2;(1852 observations deleted). drop _merge;. sort dyadidyr;. *comment: generating leading dep variable;. gen maoznewl=maoznew[_n+1] if statea==statea[_n+1] & stateb==stateb[_n+1];(405746 missing values generated). drop maoznew;. replace maoznewl=0 if maoznewl==.;(405746 real changes made). gen fatlevl=fatlev[_n+1] if statea==statea[_n+1] & stateb==stateb[_n+1];(405887 missing values generated). replace fatlevl=0 if fatlevl==.;(405887 real changes made). drop fatlev;. gen hihostl=hihost[_n+1] if statea==statea[_n+1] & stateb==stateb[_n+1];(405746 missing values generated). replace hihostl=0 if hihostl==.;(405746 real changes made). drop hihost;. gen recipl=recip[_n+1] if statea==statea[_n+1] & stateb==stateb[_n+1];(405746 missing values generated). replace recipl=0 if recipl==.;(405746 real changes made). drop recip;. gen warl=0 if hihostl~=.;. replace warl=1 if hihostl==5;(238 real changes made). gen deadlyl=0 if fatlevl~=.;. replace deadlyl=1 if fatlevl>=1;(401 real changes made). save tempdyad.dta, replace;file tempdyad.dta saved. *comment:  now add Maoz dyad data to Oneal and Russett data;. use capitalistpeace_012007.dta;(all dyads 1950-92: 12-18-98). merge dyadidyr using tempdyad.dta;. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          2 |     21,062        5.17        5.17          3 |    386,556       94.83      100.00------------+-----------------------------------      Total |    407,618      100.00. drop if _merge==2;(21062 observations deleted). rename _merge sample;. la var sample "MERGE - 1= O&R,2=MAOZ,3=both";. la var maoznew "MID - Maoz dyadic onset";. la var maoznewl "MID - lead Maoz dyadic onset";. la var fatlevl "MID - lead Maoz fatality level";. la var hihostl "MID - lead Maoz hi hostility";. la var recipl "MID - lead Maoz recip dummy?";. la var warl "MID - lead Maoz wars";. la var deadlyl "MID - lead Maoz deadly MID";. *comment:  discrepancies between the Maoz and O&R dep. variable;. tab onset1 maoznewl;     O&R - |  onset of |    MID - lead Maozdispute in |     dyadic onset  year + 1 |         0          1 |     Total-----------+----------------------+----------         0 |   384,568        578 |   385,146          1 |       156      1,254 |     1,410 -----------+----------------------+----------     Total |   384,724      1,832 |   386,556 . drop onset1;. *comment:  MIDs in Maoz that are selected out of the O&R sample;. tab maoznewl sample;MID - lead | MERGE - 1=      Maoz | O&R,2=MAOZ    dyadic |  ,3=both     onset |         3 |     Total-----------+-----------+----------         0 |   384,724 |   384,724          1 |     1,832 |     1,832 -----------+-----------+----------     Total |   386,556 |   386,556 . btscs warl year statea stateb, g(waryrs) nspline(3);. sort dyadidyr;. ren _spline1 waryear1;. ren _spline2 waryear2;. ren _spline3 waryear3;. btscs deadlyl year statea stateb, g(deadyrs) nspline(3);. sort dyadidyr;. ren _spline1 deadyer1;. ren _spline2 deadyer2;. ren _spline3 deadyer3;. btscs maoznewl year statea stateb, g(maozyrs) nspline(3);. sort dyadidyr;. drop fatlevl hihostl recipl;. save capitalistpeace_012007.dta, replace;file capitalistpeace_012007.dta saved. erase temp.dta;. erase tempdyad.dta;. *comment:  adding capability data;. merge dyadidyr using capabil.dta;. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          2 |    163,837       29.77       29.77          3 |    386,556       70.23      100.00------------+-----------------------------------      Total |    550,393      100.00. drop if _merge==2;(163837 observations deleted). drop _merge;. sort dyadidyr;. gen cinclo=cinca if cinca<=cincb & cinca~=. & cincb~=.;(185148 missing values generated). replace cinclo=cincb if cinca>cincb & cinca~=. & cincb~=.;(184691 real changes made). la var cinclo "CINC - Lower of dyadic scores";. gen cinchi=cincb if cincb>=cinca & cinca~=. & cincb~=.;(185148 missing values generated). replace cinchi=cinca if cinca>cincb & cinca~=. & cincb~=.;(184691 real changes made). la var cinchi "CINC - Higher of dyadic scores";. *comment:  OPERATIONALIZING REGIONAL DUMMIES;. gen region=0;. replace region=rega if rega==regb;(76403 real changes made, 1 to missing). drop rega regb;. gen namerica=0;. replace namerica=1 if region==1 & statea<100 & stateb<100;(6061 real changes made). gen samerica=0;. replace samerica=1 if region==1 & statea>99 & stateb>99;(2403 real changes made). gen europe=0;. replace europe=1 if region==2;(17169 real changes made). gen africa=0;. replace africa=1 if region==3;(25842 real changes made). gen nafmeast=0;. replace nafmeast=1 if region==4;(6509 real changes made). gen asia=0;. replace asia=1 if region==5;(9928 real changes made). gen pacific=0;. replace pacific=1 if region==6;(388 real changes made). drop region;. compress;maoznewl was float now bytewarl was float now bytedeadlyl was float now bytenamerica was float now bytesamerica was float now byteeurope was float now byteafrica was float now bytenafmeast was float now byteasia was float now bytepacific was float now byte. save capitalistpeace_012007.dta, replace;file capitalistpeace_012007.dta saved. *comment:  OPERATIONALIZING ALLIANCE;. *comment:  adding third party alliance ties - Appendix;. *comment:  preparing the raw data;. use 3rdpartyallymod.dta;. sort dyadidyr;. drop midno all11 all22 sum2type;. ren side1 statea;. ren side2 stateb;. ren midstart year;. egen linktype=min(ltype), by(dyadidyr);. drop ltype;. sort dyadidyr;. egen thirdeth=max(midc), by(dyadidyr);. drop midc;. sort dyadidyr;. egen statalya=min(type11), by(dyadidyr);(4766 missing values generated). drop type11;. sort dyadidyr;. egen statalyb=min(type22), by(dyadidyr);(8376 missing values generated). drop type22;. sort dyadidyr;. egen bondbond=min(str2bond), by(dyadidyr);(13401 missing values generated). drop str2bond;. sort dyadidyr;. drop if dyadidyr==dyadidyr[_n-1];(219482 observations deleted). save temp.dta;file temp.dta saved. *comment:  adding the set of second year dyads;. gen mark=1 if midend>year & midend~=. & year~=.;(73123 missing values generated). drop if mark==.;(73123 observations deleted). gen yer=year+1;. drop dyadidyr year mark;. ren yer year;. move year thirdeth;. gen long dyadidyr = ((statea*1000000)+(stateb*1000)+(year-1000));. move dyadidyr linktype;. sort dyadidyr;. des;Contains data from temp.dta  obs:        16,640                           vars:            10                          29 Jan 2007 18:37 size:       632,320 (99.8% of memory free)-------------------------------------------------------------------------------              storage  display     valuevariable name   type   format      label      variable label-------------------------------------------------------------------------------statea          int    %8.0g                  smaller COW IDstateb          int    %8.0g                  larger COW IDmidend          int    %8.0g                  end year of disputedyadidyr        long   %12.0g                 linktype        float  %9.0g                  year            float  %9.0g                  thirdeth        float  %9.0g                  statalya        float  %9.0g                  statalyb        float  %9.0g                  bondbond        float  %9.0g                  -------------------------------------------------------------------------------Sorted by:  dyadidyr     Note:  dataset has changed since last saved. append using temp.dta;. gen thirdpty=1 if linktype==2;(31974 missing values generated). gen fourprty=1 if linktype==1;(74429 missing values generated). replace thirdpty=0 if thirdpty==.;(31974 real changes made). replace fourprty=0 if fourprty==.;(74429 real changes made). sort dyadidyr thirdpty fourprty;. drop if dyadidyr==dyadidyr[_n+1];(10585 observations deleted). sort dyadidyr;. drop linktype midend;. move fourprty thirdeth;. move thirdpty fourprty;. save tempdyad.dta;file tempdyad.dta saved. *comment:  now add third party data;. use capitalistpeace_012007.dta;(all dyads 1950-92: 12-18-98). merge dyadidyr using tempdyad.dta;year was int now float. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          1 |    303,834       76.02       76.02          2 |     13,096        3.28       79.30          3 |     82,722       20.70      100.00------------+-----------------------------------      Total |    399,652      100.00. drop if _merge==2;(13096 observations deleted). drop _merge;. drop statalya statalyb;. replace thirdpty=0 if thirdpty==.;(303834 real changes made). replace fourprty=0 if fourprty==.;(303834 real changes made). replace thirdeth=0 if thirdeth==.;(303834 real changes made). la var thirdpty "ALLY - initial vs. enemy ally A-C/B-D";. la var fourprty "ALLY - ally vs. ally link C-D/D-C";. la var thirdeth "ALLY - is initial dispute deadly?";. *la var statalya "alliance type for A";. *la var statalyb "alliance type for B";. la var bondbond "ALLY - 1=2defpacs,2=defpacentent,3=2entents, etc.";. drop cinca cincb bondbond thirdeth;. sort dyadidyr;. save capitalistpeace_012007.dta, replace;file capitalistpeace_012007.dta saved. erase temp.dta;. erase tempdyad.dta;. *comment:  merging GDP (development) and trade data;. *comment:  each dataset must be merged twice (once for each actor in the dyad);. *comment:  GDP data;. sort cntryera;. rename cntryera cntryer;. merge cntryer using pwtmod.dta;. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          1 |      6,994        1.81        1.81          2 |        459        0.12        1.93          3 |    379,562       98.07      100.00------------+-----------------------------------      Total |    387,015      100.00. drop if _merge==2;(459 observations deleted). drop _merge state origin;. rename cntryer cntryera;. rename pop popa;. rename rgdp85pc rgdp85pa;. rename gdppc gdppca;. *replace rgdp85pa=ln(rgdp85pa);. la var popa "PWT - population (1000's) A";. la var rgdp85pa "PWT - ln. real percap GDP A";. la var gdppca "PWT - GDP percap A";. sort cntryerb;. rename cntryerb cntryer;. merge cntryer using pwtmod.dta;. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          1 |      3,067        0.79        0.79          2 |        459        0.12        0.91          3 |    383,489       99.09      100.00------------+-----------------------------------      Total |    387,015      100.00. drop if _merge==2;(459 observations deleted). drop _merge state origin;. rename cntryer cntryerb;. rename pop popb;. rename rgdp85pc rgdp85pb;. rename gdppc gdppcb;. *replace rgdp85pb=ln(rgdp85pb);. la var popb "PWT - population (1000's) B";. la var rgdp85pb "PWT - ln. real percap GDP B";. la var gdppcb "PWT - GDP percap B";. compress;year was float now intthirdpty was float now bytefourprty was float now byte. sort dyadidyr;. save capitalistpeace_012007.dta, replace;file capitalistpeace_012007.dta saved. *comment:  bringing in data for markets;. use gleditschtrade.dta;. gen long cntryer=((statea*10000)+year);. sort cntryer;. gen exptimpt=(export+import);. egen open=sum(exptimpt), by(cntryer);. drop exptimpt cntryer;. sort dyadidyr;. save temp.dta, replace;(note: file temp.dta not found)file temp.dta saved. *comment:  merging the trade data;. use capitalistpeace_012007.dta;(all dyads 1950-92: 12-18-98). sort dyadidyr;. merge dyadidyr using temp.dta;. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          1 |     10,018        0.97        0.97          2 |    649,014       62.67       63.64          3 |    376,538       36.36      100.00------------+-----------------------------------      Total |  1,035,570      100.00. drop if _merge==2;(649014 observations deleted). drop _merge export_t import_t;. gen tradea=(((import+export)*1000)/(gdppca*popa));(10018 missing values generated). gen opena=(open*1000/(gdppca*popa));(10018 missing values generated). drop gdppca open import export;. ren dyadidyr dyadtemp;. gen long dyadidyr=((stateb*1000000)+(statea*1000)+(year-1000));. sort dyadidyr;. merge dyadidyr using temp.dta;. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          1 |     10,018        0.97        0.97          2 |    649,014       62.67       63.64          3 |    376,538       36.36      100.00------------+-----------------------------------      Total |  1,035,570      100.00. drop if _merge==2;(649014 observations deleted). drop _merge export_t import_t;. gen tradeb=(((import+export)*1000)/(gdppcb*popb));(10018 missing values generated). gen openb=(open*1000/(gdppcb*popb));(10018 missing values generated). drop gdppcb open import export dyadidyr;. ren dyadtemp dyadidyr;. sort dyadidyr;. la var tradea "PWT - imports+exports/GDP";. la var tradeb "PWT - imports+exports/GDP";. la var opena "PWT - sum(import+export)/GDP";. la var openb "PWT - sum(import+export)/GDP";. *comment:  OPERATIONALIZING DEVELOPMENT;. *comment:  constructing dyadic measures of GDPPC, Table 1 & 2;. gen rgdppclo = rgdp85pa if rgdp85pa<= rgdp85pb & rgdp85pa~=. & rgdp85pb~=.;(230634 missing values generated). replace rgdppclo = rgdp85pb if rgdp85pa> rgdp85pb & rgdp85pa~=. & rgdp85pb~=.;(220616 real changes made). la var rgdppclo "PWT - Lower of dyadic GDP scores";. gen rgdppchi = rgdp85pb if rgdp85pb>= rgdp85pa & rgdp85pa~=. & rgdp85pb~=.;(230634 missing values generated). replace rgdppchi = rgdp85pa if rgdp85pa> rgdp85pb & rgdp85pa~=. & rgdp85pb~=.;(220616 real changes made). la var rgdppchi "PWT - Higher of dyadic GDP scores";. gen rgdppcl2=rgdppclo*rgdppclo;(10018 missing values generated). la var rgdppcl2 "PWT - Lower dyadic GDP score^2";. gen rgdpdist=rgdppclo/logdstab;(13716 missing values generated). la var rgdpdist "PWT - inter, rgdppclo/dist";. gen rgdppcln = ln(rgdppclo);(10018 missing values generated). la var rgdppclo "PWT - ln of lower GDP scores";. gen rgdppchn = ln(rgdppchi);(10018 missing values generated). la var rgdppchi "PWT - ln of higher GDP scores";. gen rgdpcln2=rgdppcln*rgdppcln;(10018 missing values generated). la var rgdpcln2 "PWT - ln of lower GDP score^2";. gen gdpdisln=((ln(rgdppclo))/logdstab);(13716 missing values generated). la var gdpdisln "PWT - ln of rgdppclo/dist";. *comment:  OPERATIONALIZING MARKETS;. *comment:  Trade Dependence, Table 1 & 2;. gen tradelo=tradea if tradea<=tradeb & tradea~=. & tradeb~=.;(104173 missing values generated). replace tradelo=tradeb if tradea>tradeb & tradea~=. & tradeb~=.;(94155 real changes made). la var tradelo "TRADE - Lower of dyadic scores";. gen tradehi=tradea if tradea>tradeb & tradea~=. & tradeb~=.;(292401 missing values generated). replace tradehi=tradeb if tradea<=tradeb & tradea~=. & tradeb~=.;(282383 real changes made). la var tradehi "TRADE - Higher of dyadic scores";. gen jnttrade=tradea*tradeb;(10018 missing values generated). la var jnttrade "TRADE - tradea*tradeb";. *comment:  IMF financial openness - Appendix;. gen openlo=opena if opena<=openb & opena~=. & openb~=.;(218436 missing values generated). replace openlo=openb if opena>openb & opena~=. & openb~=.;(208418 real changes made). la var openlo "TRADE - Lower of openness";. *comment:  generate interaction term, demlo and rgdppclo - Appendix;. gen demgdplo = demlo*rgdppclo;(84732 missing values generated). la var demgdplo "Mousseau - dev*dem interaction term";. gen demgdpln = demlo*(ln(rgdppclo));(84732 missing values generated). la var demgdpln "Mousseau - ln(dev)*dem interaction term";. *comment:  generate interaction term, lnrgdppc and contig, Table 1 & 2;. gen gdpcontg = rgdppclo*contig;(10018 missing values generated). la var gdpcontg "GDP - wealth discourages conquest";. gen gdplnctg = (ln(rgdppclo))*contig;(10018 missing values generated). la var gdplnctg "GDP - wealth discourages conquest";. compress;rgdppclo was float now intgdpcontg was float now int. sort dyadidyr;. drop popa rgdp85pa popb rgdp85pb tradea opena tradeb openb;. save capitalistpeace_012007.dta, replace;file capitalistpeace_012007.dta saved. erase temp.dta;. *comment:  OPERATIONALIZING INTERESTS, Table 1 & 2;. *comment:  add the measure of national interest similarity;. merge dyadidyr using affinity.dta;. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          1 |      8,135        0.86        0.86          2 |    556,715       59.02       59.88          3 |    378,421       40.12      100.00------------+-----------------------------------      Total |    943,271      100.00. drop if _merge==2;(556715 observations deleted). drop _merge;. sort dyadidyr;. save capitalistpeace_012007.dta, replace;file capitalistpeace_012007.dta saved. *comment:  calculating residuals of affinity;. regress sun2cati demlo demhi;      Source |       SS       df       MS              Number of obs =  269234-------------+------------------------------           F(  2,269231) = 9480.46       Model |   2515.3805     2  1257.69025           Prob > F      =  0.0000    Residual |  35716.5463269231  .132661344           R-squared     =  0.0658-------------+------------------------------           Adj R-squared =  0.0658       Total |  38231.9268269233  .142003123           Root MSE      =  .36423------------------------------------------------------------------------------    sun2cati |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |   .0063235   .0001378    45.88   0.000     .0060534    .0065937       demhi |  -.0146121   .0001068  -136.77   0.000    -.0148215   -.0144027       _cons |   .7898536   .0011475   688.31   0.000     .7876045    .7921028------------------------------------------------------------------------------. predict temppred;(option xb assumed; fitted values)(80374 missing values generated). gen residsun=sun2cati-temppred;(117322 missing values generated). drop temppred;. la var residsun "AFFINITY - sun2cati unexplained by demlo, demhi";. *comment:  adding igo similarity - Appendix;. merge dyadidyr using similarigo.dta;. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          1 |        155        0.03        0.03          2 |    129,894       25.15       25.18          3 |    386,401       74.82      100.00------------+-----------------------------------      Total |    516,450      100.00. drop if _merge==2;(129894 observations deleted). drop _merge;. compress;. sort dyadidyr;. save capitalistpeace_012007.dta, replace;file capitalistpeace_012007.dta saved. *comment:  OPERATIONALIZING MARKETS - Appendix;. *comment:  merging IMF capital variables;. merge dyadidyr using IMFcapdata.dta;. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          2 |      1,095        0.28        0.28          3 |    386,556       99.72      100.00------------+-----------------------------------      Total |    387,651      100.00. drop if _merge==2;(1095 observations deleted). drop _merge;. gen capdumy=0;. replace capdumy=1 if capitall>=5 & capitall~=.;(15866 real changes made). la var capopenl "IMF - govt financial openness, low";. la var capopenh "IMF - govt financial openness, high";. la var fdi_gdpl "IMF - gross fdi over gdp ppp, low";. la var fdi_gdph "IMF - gross fdi over gdp ppp, high";. la var ceq_gdpl "IMF - cum. equity invest/gdpppp, low";. la var ceq_gdph "IMF - cum. equity invest/gdpppp, high";. la var portfl "IMF - portfolio invest, % of gdp-ppp, low";. la var portfh "IMF - portfolio invest, % of gdp-ppp, high";. la var capitall "IMF - gross priv cap flows, % of gdp-ppp, low";. la var capitalh "IMF - gross priv cap flows, % of gdp-ppp, high";. la var capdumy "IMF - dummy, 1 if capitall>=5";. compress;capdumy was float now byte. sort dyadidyr;. save capitalistpeace_012007.dta, replace;file capitalistpeace_012007.dta saved. *comment:  constructing, merging and assessing the economic liberalism data;. *comment:  constructing sample;. use esplccod;. cross using esplyear;. gen long cntryer=((ccode*10000)+year);. sort cntryer;. order cntryer ccode year;. merge cntryer using econlib.dta;. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          1 |      2,604       75.00       75.00          3 |        868       25.00      100.00------------+-----------------------------------      Total |      3,472      100.00. drop if _merge==2;(0 observations deleted). sort cntryer;. drop _merge;. *comment:  substituting values for missing;. gen econfree=econfre;(2761 missing values generated). replace econfree=econfree[_n-1] if econfree==. & econfree[_n-1]~=. & > ccode==ccode[_n-1];(2016 real changes made). *comment:  interpolating data;. ipolate econfre year, g(ieconfre) by(ccode);(764 missing values generated). sort cntryer;. ipolate govsize year, g(igovsize) by(ccode);(329 missing values generated). sort cntryer;. ipolate econstru year, g(ieconstr) by(ccode);(1395 missing values generated). sort cntryer;. ipolate monpolcy year, g(imonplcy) by(ccode);(311 missing values generated). sort cntryer;. ipolate altmoney year, g(ialtmony) by(ccode);(224 missing values generated). sort cntryer;. ipolate proprite year, g(iproprit) by(ccode);(1039 missing values generated). sort cntryer;. ipolate freetrad year, g(ifretrad) by(ccode);(736 missing values generated). sort cntryer;. ipolate freecapm year, g(ifrecapm) by(ccode);(901 missing values generated). sort cntryer;. compress;ccode was float now intyear was float now int. save elibdata.dta, replace;(note: file elibdata.dta not found)file elibdata.dta saved. *comment:  now merging economic liberalism data;. use capitalistpeace_012007.dta;(all dyads 1950-92: 12-18-98). keep dyadidyr cntryera cntryerb year;. drop if year < 1970;(108651 observations deleted). rename cntryera cntryer;. sort cntryer;. merge cntryer using elibdata.dta;. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          1 |     62,304       22.35       22.35          2 |        868        0.31       22.66          3 |    215,601       77.34      100.00------------+-----------------------------------      Total |    278,773      100.00. drop if _merge==2;(868 observations deleted). drop _merge govsize econstru monpolcy altmoney proprite freetrad freecapm;. ren cntryer cntryera;. ren cntryerb cntryer;. ren econfre econfrea;. ren econfree ecofreea;. ren ieconfre iecofrea;. sort cntryer;. merge cntryer using elibdata.dta;. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          1 |     89,346       32.05       32.05          2 |        885        0.32       32.37          3 |    188,559       67.63      100.00------------+-----------------------------------      Total |    278,790      100.00. drop if _merge==2;(885 observations deleted). drop _merge govsize econstru monpolcy altmoney proprite freetrad freecapm;. rename cntryer cntryerb;. ren econfre econfreb;. ren econfree ecofreeb;. ren ieconfre iecofreb;. sort dyadidyr;. *comment:  lower of economic liberalism indicators;. gen econfrel=econfrea if econfrea<=econfreb & econfrea~=. & econfreb~=.;(268000 missing values generated). replace econfrel=econfreb if econfrea>econfreb & econfrea~=. & econfreb~=.;(12503 real changes made). la var econfrel "ECONLIB - Lower econ lib 5 year";. gen iecofrel=iecofrea if iecofrea<=iecofreb & iecofrea~=. & iecofreb~=.;(233714 missing values generated). replace iecofrel=iecofreb if iecofrea>iecofreb & iecofrea~=. & iecofreb~=.;(55606 real changes made). la var iecofrel "ECONLIB - ipolate lower econ lib all years";. drop cntryera cntryerb ccode econfrea ecofreea iecofrea econfreb ecofreeb > iecofreb;. drop igovsize ieconstr imonplcy ialtmony iproprit ifretrad ifrecapm;. gen elibdumy=1 if iecofrel~=.;(178108 missing values generated). la var elibdumy "ECONLIB - dummy for sample";. order dyadidyr year elibdumy;. compress;elibdumy was float now byte. save temp2.dta, replace;(note: file temp2.dta not found)file temp2.dta saved. erase elibdata.dta;. *comment:  merge the economic liberalism data with the larger dataset;. use capitalistpeace_012007.dta;(all dyads 1950-92: 12-18-98). merge dyadidyr using temp2.dta;. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          1 |    108,651       28.11       28.11          3 |    277,905       71.89      100.00------------+-----------------------------------      Total |    386,556      100.00. drop if _merge==2;(0 observations deleted). drop _merge;. replace elibdumy=0 if elibdumy==.;(286759 real changes made). sort dyadidyr;. save capitalistpeace_012007.dta, replace;file capitalistpeace_012007.dta saved. erase temp2.dta;. *comment:  merging the Quinn openness variable;. use dqamt5099_mod2.dta, replace;. gen long cntryer=((state*10000)+year);. move cntryer state;. keep cntryer capital;. sort cntryer;. compress;. save tempfile.dta, replace;(note: file tempfile.dta not found)file tempfile.dta saved. *comment:  the data must be merged twice (once for each actor in the dyad);. use capitalistpeace_012007.dta;(all dyads 1950-92: 12-18-98). sort cntryera;. rename cntryera cntryer;. merge cntryer using tempfile.dta;. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          1 |    285,317       73.69       73.69          2 |        626        0.16       73.85          3 |    101,239       26.15      100.00------------+-----------------------------------      Total |    387,182      100.00. drop if _merge==2;(626 observations deleted). drop _merge;. ren cntryer cntryera;. ren capital capitala;. la var capitala "QUINN - Quinn capital account openness A";. sort cntryerb;. rename cntryerb cntryer;. merge cntryer using tempfile.dta;. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          1 |    312,899       80.81       80.81          2 |        648        0.17       80.98          3 |     73,657       19.02      100.00------------+-----------------------------------      Total |    387,204      100.00. drop if _merge==2;(648 observations deleted). drop _merge;. ren cntryer cntryerb;. ren capital capitalb;. la var capitalb "QUINN - Quinn capital account openness B";. *comment:  generating dyadic variables;. gen capitalo=capitala if capitala<capitalb & capitala~=. & capitalb~=.;(379948 missing values generated). replace capitalo=capitalb if capitalb<=capitala & capitala~=. & capitalb~=.;(15515 real changes made). la var capitalo "QUINN - lower of dyadic scores";. gen capitlhi=capitalb if capitalb>capitala & capitala~=. & capitalb~=.;(379948 missing values generated). replace capitlhi=capitala if capitala>=capitalb & capitala~=. & capitalb~=.;(15515 real changes made). la var capitlhi "QUINN - higher of dyadic scores";. gen jtcapitl=capitala*capitalb;(364433 missing values generated). la var jtcapitl "QUINN - capitala*capitalb";. *comment:  interpolating data;. sort cntryera;. ipolate capitala year, g(icapitla) by(statea);(190431 missing values generated). sort cntryerb;. ipolate capitalb year, g(icapitlb) by(stateb);(222206 missing values generated). gen icapitlo=icapitla if icapitla<icapitlb & icapitla~=. & icapitlb~=.;(354074 missing values generated). replace icapitlo=icapitlb if icapitlb<=icapitla & icapitla~=. & icapitlb~=.;(61870 real changes made). la var icapitlo "QUINN - interpolated capitalo";. drop icapitla icapitlb;. compress;. sort dyadidyr;. save capitalistpeace_012007.dta, replace;file capitalistpeace_012007.dta saved. *comment:  merging and assessing the Chinn and Ito openness variable;. use kaopen_mod2.dta, replace;. gen long cntryer=((state*10000)+year);. move cntryer state;. sort cntryer;. drop state;. compress;. save tempfile.dta, replace;file tempfile.dta saved. *comment:  the data must be merged twice (once for each actor in the dyad);. use capitalistpeace_012007.dta;(all dyads 1950-92: 12-18-98). sort cntryera;. rename cntryera cntryer;. merge cntryer using kaopen.dta;. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          1 |    245,870       63.47       63.47          2 |        844        0.22       63.68          3 |    140,686       36.32      100.00------------+-----------------------------------      Total |    387,400      100.00. drop if _merge==2;(844 observations deleted). drop _merge state;. ren cntryer cntryera;. ren kaopen kaopena;. la var kaopena "KAOPEN - Chinn Ito capital openness";. sort cntryerb;. rename cntryerb cntryer;. merge cntryer using kaopen.dta;. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          1 |    258,635       66.76       66.76          2 |        860        0.22       66.98          3 |    127,921       33.02      100.00------------+-----------------------------------      Total |    387,416      100.00. drop if _merge==2;(860 observations deleted). drop _merge state;. ren cntryer cntryerb;. ren kaopen kaopenb;. la var kaopenb "KAOPEN - Chinn Ito capital openness";. *comment:  generating dyadic variables;. gen kaopenlo=kaopena if kaopena<kaopenb & kaopena~=. & kaopenb~=.;(353586 missing values generated). replace kaopenlo=kaopenb if kaopenb<=kaopena & kaopena~=. & kaopenb~=.;(48896 real changes made). la var kaopenlo "KAOPEN - lower of dyadic scores";. gen kaopenhi=kaopenb if kaopenb>kaopena & kaopena~=. & kaopenb~=.;(353586 missing values generated). replace kaopenhi=kaopena if kaopena>=kaopenb & kaopena~=. & kaopenb~=.;(48896 real changes made). la var kaopenhi "KAOPEN - higher of dyadic scores";. gen jtkaopen=kaopena*kaopenb;(304690 missing values generated). la var jtkaopen "KAOPEN - kaopena*kaopenb";. compress;. sort dyadidyr;. save capitalistpeace_012007.dta, replace;file capitalistpeace_012007.dta saved. erase tempfile.dta;. *comment:  OPERATIONALIZING ALLIANCE - Appendix;. *comment:  merging and assessing the EU dummy data;. *comment:  the data must be merged twice (once for each actor in the dyad);. sort statea;. rename statea state;. merge state using natowarsaw.dta;. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          1 |    297,780       77.03       77.03          2 |          1        0.00       77.03          3 |     88,776       22.97      100.00------------+-----------------------------------      Total |    386,557      100.00. drop if _merge==2;(1 observation deleted). drop _merge;. ren state statea;. gen natoa=0;. gen warsawa=0;. replace natoa=1 if nstrtyer~=. & nstrtyer<=year & nendyear>=year;(57191 real changes made). replace warsawa=1 if wpstrtyer~=. & wpstrtyer<=year & wpendyer>=year;(20995 real changes made). drop nstrtyer nendyear wpstrtyer wpendyer;. sort stateb;. rename stateb state;. merge state using natowarsaw.dta;. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          1 |    347,236       89.83       89.83          2 |          2        0.00       89.83          3 |     39,320       10.17      100.00------------+-----------------------------------      Total |    386,558      100.00. drop if _merge==2;(2 observations deleted). drop _merge;. ren state stateb;. gen natob=0;. gen warsawb=0;. replace natob=1 if nstrtyer~=. & nstrtyer<=year & nendyear>=year;(23766 real changes made). replace warsawb=1 if wpstrtyer~=. & wpstrtyer<=year & wpendyer>=year;(10665 real changes made). drop nstrtyer nendyear wpstrtyer wpendyer;. gen bothnato=0;. replace bothnato=1 if natoa==1 & natob==1;(4185 real changes made). la var bothnato "NATO dummy";. gen bothwarsaw=0;. replace bothwarsaw=1 if warsawa==1 & warsawb==1;(639 real changes made). la var bothwarsaw "WARSAW dummy";. drop natoa natob warsawa warsawb;. gen bothboth=bothnato;. replace bothboth=1 if bothwarsaw==1;(639 real changes made). la var bothboth "NATO & WARSAW dummy";. *comment:  OPERATIONALIZING NUCLEAR POWER STATUS - Appendix;. gen nucleara=0;. replace nucleara=1 if statea==2 & year>=1945;(5586 real changes made). replace nucleara=1 if statea==365 & year>=1949;(3434 real changes made). replace nucleara=1 if statea==200 & year>=1952;(4287 real changes made). replace nucleara=1 if statea==220 & year>=1960;(3630 real changes made). replace nucleara=1 if statea==710 & year>=1964;(760 real changes made). replace nucleara=1 if stateb==666 & year>=1966;(2994 real changes made). replace nucleara=1 if statea==560 & year>=1979 & year<=1991;(754 real changes made). replace nucleara=1 if statea==750 & year>=1988;(119 real changes made). replace nucleara=1 if statea==770 & year>=1987;(130 real changes made). gen nuclearb=0;. replace nuclearb=1 if stateb==2 & year>=1945;(0 real changes made). replace nuclearb=1 if stateb==365 & year>=1949;(2152 real changes made). replace nuclearb=1 if stateb==200 & year>=1952;(1151 real changes made). replace nuclearb=1 if stateb==220 & year>=1960;(1140 real changes made). replace nuclearb=1 if stateb==710 & year>=1964;(3560 real changes made). replace nuclearb=1 if statea==666 & year>=1966;(947 real changes made). replace nuclearb=1 if stateb==560 & year>=1979 & year<=1991;(1313 real changes made). replace nuclearb=1 if stateb==750 & year>=1988;(712 real changes made). replace nuclearb=1 if stateb==770 & year>=1987;(860 real changes made). gen nuclear1=0;. replace nuclear1=1 if nucleara==1;(21694 real changes made). replace nuclear1=1 if nuclearb==1;(11361 real changes made). la var nuclear1 "NUKE - either state has nukes";. gen nuclear2=0;. replace nuclear2=1 if nucleara==1 & nuclearb==1;(474 real changes made). drop nucleara nuclearb;. la var nuclear2 "NUKE - both states have nukes";. *comment:  OPERATIONALIZING DEMOCRACY - Appendix;. *comment:  merging and assessing the Polity IV democracy data;. *comment:  the data must be merged twice (once for each actor in the dyad);. sort cntryera;. rename cntryera cntryer;. merge cntryer using polity98mod.dta;cntryer was long now double. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          1 |     33,466        8.45        8.45          2 |      9,394        2.37       10.82          3 |    353,090       89.18      100.00------------+-----------------------------------      Total |    395,950      100.00. drop if _merge==2;(9394 observations deleted). drop _merge state;. ren cntryer cntryera;. replace democ=. if democ<0;(10508 real changes made, 10508 to missing). replace autoc=. if autoc<0;(10508 real changes made, 10508 to missing). ren democ democa;. ren autoc autoca;. ren durable durablea;. gen ceddema=0;. replace ceddema=1 if democa>=6;(184868 real changes made). gen demautaa=((democa-autoca+10)/2);(43974 missing values generated). drop democa autoca;. la var demautaa "POLITY - (democa-autoca+10)/2";. la var durablea "POLITY - years of regime duration";. sort cntryerb;. rename cntryerb cntryer;. merge cntryer using polity98mod.dta;cntryer was long now double. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          1 |     22,518        5.69        5.69          2 |      9,411        2.38        8.06          3 |    364,038       91.94      100.00------------+-----------------------------------      Total |    395,967      100.00. drop if _merge==2;(9411 observations deleted). drop _merge state;. ren cntryer cntryerb;. replace democ=. if democ<0;(13024 real changes made, 13024 to missing). replace autoc=. if autoc<0;(13024 real changes made, 13024 to missing). ren democ democb;. ren autoc autocb;. ren durable durableb;. gen ceddemb=0;. replace ceddemb=1 if democb>=6;(137174 real changes made). gen demautbb=((democb-autocb+10)/2);(35542 missing values generated). drop democb autocb;. la var demautbb "POLITY - (democa-autoca+10)/2";. la var durableb "POLITY - years of regime duration";. sort dyadidyr;. *comment:  constructing dyadic measures;. gen politylo=demautaa if demautaa<demautbb & demautaa~=. & demautbb~=.;(275613 missing values generated). replace politylo=demautbb if demautbb<=demautaa & demautaa~=. & demautbb~=.;(200971 real changes made). la var politylo "POLITY - Lower of dyadic scores";. gen polityhi=demautbb if demautbb>demautaa & demautaa~=. & demautbb~=.;(275613 missing values generated). replace polityhi=demautaa if demautaa>=demautbb & demautaa~=. & demautbb~=.;(200971 real changes made). la var polityhi "POLITY - Higher of dyadic scores";. gen jtpolity=(demautaa*demautbb);(74642 missing values generated). la var jtpolity "POLITY - Product of dyadic scores";. gen durabllo=durablea if durablea<durableb & durablea~=. & durableb~=.;(245211 missing values generated). replace durabllo=durableb if durableb<=durablea & durablea~=. & durableb~=.;(177035 real changes made). la var durabllo "POLITY - Lower of dyadic regime durability scores";. *comment:  generating cederman democracy dummies;. gen ceddem1=0;. replace ceddem1=1 if ceddema==1;(184868 real changes made). replace ceddem1=1 if ceddemb==1;(68453 real changes made). gen ceddem2=0;. replace ceddem2=1 if ceddema==1 & ceddemb==1;(68721 real changes made). drop ceddema ceddemb;. la var ceddem1 "CEDERMAN - either democ>=6";. la var ceddem2 "CEDERMAN - both democ>=6";. *comment:  generating Cederman learning variables;. gen demyear1=ceddem1*year;. gen demyear2=ceddem2*year;. gen autyear1=(1-ceddem1)*year;. gen autyear2=(1-ceddem2)*year;. la var demyear1 "CEDERMAN - ceddem1*year";. la var demyear2 "CEDERMAN - ceddem2*year";. la var autyear1 "CEDERMAN - (1-ceddem1)*year";. la var autyear2 "CEDERMAN - (1-ceddem2)*year";. compress;bothnato was float now bytebothwarsaw was float now bytebothboth was float now bytenuclear1 was float now bytenuclear2 was float now bytedurabllo was float now byteceddem1 was float now byteceddem2 was float now bytedemyear1 was float now intdemyear2 was float now intautyear1 was float now intautyear2 was float now intcntryera was double now longcntryerb was double now long. save capitalistpeace_012007.dta, replace;file capitalistpeace_012007.dta saved. *comment:  discrepancies between Polity IV data and Oneal & Russett democracy;. corr demlo politylo;(obs=302869)             |    demlo politylo-------------+------------------       demlo |   1.0000    politylo |   0.9889   1.0000. corr demhi polityhi;(obs=302869)             |    demhi polityhi-------------+------------------       demhi |   1.0000    polityhi |   0.9922   1.0000. tab demlo;DEM - Lower |  of dyadic |     scores |      Freq.     Percent        Cum.------------+-----------------------------------        -10 |     23,548        7.69        7.69         -9 |     65,421       21.37       29.06         -8 |     27,121        8.86       37.92         -7 |     97,354       31.80       69.71         -6 |     15,042        4.91       74.62         -5 |     10,472        3.42       78.04         -4 |      2,912        0.95       79.00         -3 |      5,898        1.93       80.92         -2 |      3,178        1.04       81.96         -1 |      3,830        1.25       83.21          0 |      1,924        0.63       83.84          1 |      2,953        0.96       84.80          2 |      3,347        1.09       85.90          3 |      2,041        0.67       86.56          4 |      4,906        1.60       88.17          5 |      3,589        1.17       89.34          6 |      2,256        0.74       90.07          7 |      4,567        1.49       91.57          8 |      7,450        2.43       94.00          9 |      5,524        1.80       95.80         10 |     12,849        4.20      100.00------------+-----------------------------------      Total |    306,182      100.00. tab politylo;   POLITY - |   Lower of |     dyadic |     scores |      Freq.     Percent        Cum.------------+-----------------------------------          0 |     23,830        7.64        7.64         .5 |     63,457       20.34       27.98          1 |     29,452        9.44       37.43        1.5 |    103,514       33.19       70.61          2 |     13,557        4.35       74.96        2.5 |      9,694        3.11       78.07          3 |      3,050        0.98       79.05        3.5 |      5,786        1.85       80.90          4 |      3,188        1.02       81.92        4.5 |      4,070        1.30       83.23          5 |      2,545        0.82       84.04        5.5 |      3,065        0.98       85.03          6 |      3,533        1.13       86.16        6.5 |      1,583        0.51       86.67          7 |      4,313        1.38       88.05        7.5 |      4,646        1.49       89.54          8 |      3,342        1.07       90.61        8.5 |      3,925        1.26       91.87          9 |      8,265        2.65       94.52        9.5 |      5,755        1.85       96.36         10 |     11,344        3.64      100.00------------+-----------------------------------      Total |    311,914      100.00. tab demhi;      DEM - |  Higher of |     dyadic |     scores |      Freq.     Percent        Cum.------------+-----------------------------------        -10 |        434        0.14        0.14         -9 |      7,295        2.38        2.52         -8 |      6,042        1.97        4.50         -7 |     51,628       16.86       21.36         -6 |     13,357        4.36       25.72         -5 |     11,038        3.61       29.33         -4 |      3,425        1.12       30.45         -3 |      7,087        2.31       32.76         -2 |      4,559        1.49       34.25         -1 |      4,869        1.59       35.84          0 |      2,850        0.93       36.77          1 |      4,041        1.32       38.09          2 |      4,716        1.54       39.63          3 |      3,492        1.14       40.77          4 |      8,352        2.73       43.50          5 |      6,783        2.22       45.71          6 |      4,258        1.39       47.10          7 |     10,299        3.36       50.47          8 |     19,252        6.29       56.76          9 |     19,147        6.25       63.01         10 |    113,258       36.99      100.00------------+-----------------------------------      Total |    306,182      100.00. tab polityhi;   POLITY - |  Higher of |     dyadic |     scores |      Freq.     Percent        Cum.------------+-----------------------------------          0 |        434        0.14        0.14         .5 |      6,749        2.16        2.30          1 |      6,413        2.06        4.36        1.5 |     55,555       17.81       22.17          2 |     12,459        3.99       26.16        2.5 |      9,768        3.13       29.30          3 |      3,680        1.18       30.48        3.5 |      6,832        2.19       32.67          4 |      4,433        1.42       34.09        4.5 |      5,484        1.76       35.85          5 |      3,486        1.12       36.96        5.5 |      4,811        1.54       38.51          6 |      5,073        1.63       40.13        6.5 |      2,713        0.87       41.00          7 |      7,490        2.40       43.40        7.5 |      8,593        2.75       46.16          8 |      6,493        2.08       48.24        8.5 |      9,261        2.97       51.21          9 |     22,173        7.11       58.32        9.5 |     21,847        7.00       65.32         10 |    108,167       34.68      100.00------------+-----------------------------------      Total |    311,914      100.00. gen marker=1111111 if demlo>politylo & demlo~=. & politylo~=.;(383841 missing values generated). tab marker;     marker |      Freq.     Percent        Cum.------------+-----------------------------------    1111111 |      2,715      100.00      100.00------------+-----------------------------------      Total |      2,715      100.00. gen marker2=1111111 if demlo<politylo & demlo~=. & politylo~=.;(98577 missing values generated). tab marker2;    marker2 |      Freq.     Percent        Cum.------------+-----------------------------------    1111111 |    287,979      100.00      100.00------------+-----------------------------------      Total |    287,979      100.00. drop marker marker2 durablea demautaa durableb demautbb;. *comment:  merging and assessing the Vanhanen democracy data;. *comment:  the data must be merged twice (once for each actor in the dyad);. sort cntryera;. rename cntryera cntryer;. merge cntryer using vanhanendem.dta;. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          1 |      3,283        0.83        0.83          2 |      7,698        1.95        2.79          3 |    383,273       97.21      100.00------------+-----------------------------------      Total |    394,254      100.00. drop if _merge==2;(7698 observations deleted). drop _merge ccode;. rename cntryer cntryera;. rename id ida;. la var ida "VANDEM - Vanhanen dem A";. sort cntryerb;. rename cntryerb cntryer;. merge cntryer using vanhanendem.dta;. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          1 |      4,259        1.08        1.08          2 |      7,697        1.95        3.03          3 |    382,297       96.97      100.00------------+-----------------------------------      Total |    394,253      100.00. drop if _merge==2;(7697 observations deleted). drop _merge ccode;. rename cntryer cntryerb;. rename id idb;. la var idb "VANDEM - Vanhanen dem B";. sort dyadidyr;. *comment:  constructing dyadic measures;. gen idlo=ida if ida<=idb & ida~=. & idb~=.;(191727 missing values generated). replace idlo=idb if ida>idb & ida~=. & idb~=.;(183928 real changes made). la var idlo "VANDEM - Lower of dyadic scores";. gen idhi=ida if ida>idb & ida~=. & idb~=.;(202628 missing values generated). replace idhi=idb if ida<=idb & ida~=. & idb~=.;(194829 real changes made). la var idhi "VANDEM - Higher of dyadic scores";. gen jntid=(ida*idb);(7799 missing values generated). la var jntid "VANDEM - Product of dyadic scores";. compress;. save capitalistpeace_012007.dta, replace;file capitalistpeace_012007.dta saved. *comment:  merging and assessing the freedomhouse (Gastil) democracy data;. *comment:  the data must be merged twice (once for each actor in the dyad);. sort cntryera;. rename cntryera cntryer;. merge cntryer using freedomhouse.dta;. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          1 |    127,153       32.71       32.71          2 |      2,120        0.55       33.26          3 |    259,403       66.74      100.00------------+-----------------------------------      Total |    388,676      100.00. drop if _merge==2;(2120 observations deleted). drop _merge ccode;. ren cntryer cntryera;. ren freeindx freeinda;. gen gastdema=(14-(polright+civlib));(127407 missing values generated). drop polright civlib;. la var gastdema "GASTIL - 14-(polritea+civliba) (0 - 12)";. la var freeinda "GASTIL - for A:  0=NF,1=PF,2=F";. sort cntryerb;. rename cntryerb cntryer;. merge cntryer using freedomhouse.dta;. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          1 |    127,153       32.71       32.71          2 |      2,120        0.55       33.26          3 |    259,403       66.74      100.00------------+-----------------------------------      Total |    388,676      100.00. drop if _merge==2;(2120 observations deleted). drop _merge ccode;. ren cntryer cntryerb;. ren freeindx freeindb;. gen gastdemb=(14-(polright+civlib));(127235 missing values generated). drop polright civlib;. la var gastdemb "GASTIL - 14-(polriteb+civlibb) (0 - 12)";. la var freeindb "GASTIL - for B:  0=NF,1=PF,2=F";. sort dyadidyr;. *comment:  constructing dyadic measures;. gen gasdemlo=gastdema if gastdema<gastdemb & gastdema~=. & gastdemb~=.;(292792 missing values generated). replace gasdemlo=gastdemb if gastdemb<=gastdema & gastdema~=. & gastdemb~=.;(165303 real changes made). la var gasdemlo "GASTIL - Lower of dyadic scores";. gen gasdemhi=gastdemb if gastdemb>gastdema & gastdema~=. & gastdemb~=.;(292792 missing values generated). replace gasdemhi=gastdema if gastdema>=gastdemb & gastdema~=. & gastdemb~=.;(165303 real changes made). la var gasdemhi "GASTIL - Higher of dyadic scores";. gen jtgasdem=(gastdema*gastdemb);(127489 missing values generated). la var jtgasdem "GASTIL - Product of dyadic scores";. compress;gastdema was float now bytegastdemb was float now bytegasdemlo was float now bytegasdemhi was float now bytejtgasdem was float now int. drop freeinda gastdema freeindb gastdemb;. save capitalistpeace_012007.dta, replace;file capitalistpeace_012007.dta saved. *comment:  adding contiguity distance variables;. merge dyadidyr using distance.dta;. tab _merge;     _merge |      Freq.     Percent        Cum.------------+-----------------------------------          2 |      1,082        0.28        0.28          3 |    386,556       99.72      100.00------------+-----------------------------------      Total |    387,638      100.00. drop if _merge==2;(1082 observations deleted). drop _merge;. *comment:  CONSTRUCTING CONTIGUITY, Table 1 & 2;. gen cntigdum=1 if cntig<=4 & cntig~=.;(374837 missing values generated). replace cntigdum=0 if cntig>4 & cntig~=.;(374837 real changes made). la var cntigdum "CONTIG - 1 if cntig<=4";. drop cntig;. sort dyadidyr;. compress;cntigdum was float now byte. *comment:  CONSTRUCTING DISTANCE, Table 1 & 2;. gen tempdist=distance;(5206 missing values generated). replace tempdist=1 if distance==0;(123 real changes made). gen logdist=ln(tempdist);(5206 missing values generated). drop tempdist pol_rel;. la var distance "DISTANCE - km's cap to cap";. la var logdist "DISTANCE - ln(km's) cap to cap";. *comment:  CONSTRUCTING GDPPC X CONTIGUITY INTERACTION TERM, Table 1 & 2;.  gen gdpcntig=rgdppclo*cntigdum;(10018 missing values generated). la var gdpcntig "CONTIG - rgdppclo x cntigdum";.  sort dyadidyr;. compress;gdpcntig was float now int. save capitalistpeace_012007.dta, replace;file capitalistpeace_012007.dta saved. *comment:  descriptive stats on the whole dataset;. describe;Contains data from capitalistpeace_012007.dta  obs:       386,556                          all dyads 1950-92: 12-18-98 vars:           121                          29 Jan 2007 18:41 size:   134,908,044 (48.5% of memory free)-------------------------------------------------------------------------------              storage  display     valuevariable name   type   format      label      variable label-------------------------------------------------------------------------------dyadidyr        long   %12.0g                 ID - unique dyad year identifierdyadid          long   %12.0g                 ID - unique dyad identifiercntryera        long   %12.0g                 ID - country year Acntryerb        long   %12.0g                 ID - country year Bstatea          int    %4.0f                  ID - COW code for state Astateb          int    %4.0f                  ID - COW code for state Byear            int    %4.0f                  ID - current yeardemlo           byte   %9.0g                  DEM - Lower of dyadic scoresdemhi           byte   %9.0g                  DEM - Higher of dyadic scoresjntdem          byte   %9.0g                  DEM - Product of dyadic scoresdemdumy2        byte   %9.0g                  DEM - dummy both demaut>7demdumy1        byte   %9.0g                  DEM - dummy either demaut>7deplo           float  %9.0g                  IDEP - Lower of dyadic scoresdephi           float  %9.0g                  IDEP - Higher of dyadic scoresjntdep          float  %9.0g                  IDEP - Product of dyadic scoresalliesr         byte   %9.0g                  O&R - states a&b formally                                                allied=1contig          byte   %9.0g                  DISTANCE - contiguity dummylogdstab        float  %9.0g                  O&R - ln of capital to capital                                                distanlncaprt         float  %9.0g                  O&R - ln of COW capability ratiomajpdyds        byte   %9.0g                  CAP - Major power in dyadmaoznewl        byte   %9.0g                  MID - lead Maoz dyadic onsetwarl            byte   %9.0g                  MID - lead Maoz warsdeadlyl         byte   %9.0g                  MID - lead Maoz deadly MIDsample          byte   %8.0g                  MERGE - 1= O&R,2=MAOZ,3=bothwaryrs          byte   %8.0g                  Time since last warlwaryear1        float  %9.0g                  (waryrs-k1) cubedwaryear2        float  %9.0g                  (waryrs-k2) cubedwaryear3        float  %9.0g                  (waryrs-k3) cubeddeadyrs         byte   %8.0g                  Time since last deadlyldeadyer1        float  %9.0g                  (deadyrs-k1) cubeddeadyer2        float  %9.0g                  (deadyrs-k2) cubeddeadyer3        float  %9.0g                  (deadyrs-k3) cubedmaozyrs         byte   %8.0g                  Time since last maoznewl_spline1        float  %9.0g                  (maozyrs-k1) cubed_spline2        float  %9.0g                  (maozyrs-k2) cubed_spline3        float  %9.0g                  (maozyrs-k3) cubedcinclo          float  %9.0g                  CINC - Lower of dyadic scorescinchi          float  %9.0g                  CINC - Higher of dyadic scoresnamerica        byte   %9.0g                  samerica        byte   %9.0g                  europe          byte   %9.0g                  africa          byte   %9.0g                  nafmeast        byte   %9.0g                  asia            byte   %9.0g                  pacific         byte   %9.0g                  thirdpty        byte   %9.0g                  ALLY - initial vs. enemy ally                                                A-C/B-Dfourprty        byte   %9.0g                  ALLY - ally vs. ally link                                                C-D/D-Crgdppclo        int    %9.0g                  PWT - ln of lower GDP scoresrgdppchi        float  %9.0g                  PWT - ln of higher GDP scoresrgdppcl2        float  %9.0g                  PWT - Lower dyadic GDP score^2rgdpdist        float  %9.0g                  PWT - inter, rgdppclo/distrgdppcln        float  %9.0g                  rgdppchn        float  %9.0g                  rgdpcln2        float  %9.0g                  PWT - ln of lower GDP score^2gdpdisln        float  %9.0g                  PWT - ln of rgdppclo/disttradelo         float  %9.0g                  TRADE - Lower of dyadic scorestradehi         float  %9.0g                  TRADE - Higher of dyadic scoresjnttrade        float  %9.0g                  TRADE - tradea*tradebopenlo          float  %9.0g                  TRADE - Lower of opennessdemgdplo        float  %9.0g                  Mousseau - dev*dem interaction                                                termdemgdpln        float  %9.0g                  Mousseau - ln(dev)*dem                                                interaction termgdpcontg        int    %9.0g                  GDP - wealth discourages                                                conquestgdplnctg        float  %9.0g                  GDP - wealth discourages                                                conquestsun2cat         float  %9.0g                  AFFINITY - 2 cat UNsun3cat         float  %9.0g                  AFFINITY - 3 cat UNsun2cati        float  %9.0g                  AFFINITY - interpolatedsun3cati        float  %9.0g                  AFFINITY - interpolatedresidsun        float  %9.0g                  AFFINITY - sun2cati unexplained                                                by demlo, demhis_igocount_uw   float  %9.0g                  unweighted S score for joint                                                IGO membership portfolioscapopenh        byte   %9.0g                  IMF - govt financial openness,                                                highcapopenl        byte   %9.0g                  IMF - govt financial openness,                                                lowfdi_gdph        float  %9.0g                  IMF - gross fdi over gdp ppp,                                                highfdi_gdpl        float  %9.0g                  IMF - gross fdi over gdp ppp,                                                lowceq_gdph        float  %9.0g                  IMF - cum. equity                                                invest/gdpppp, highceq_gdpl        float  %9.0g                  IMF - cum. equity                                                invest/gdpppp, lowportfh          float  %9.0g                  IMF - portfolio invest, % of                                                gdp-ppp, highportfl          float  %9.0g                  IMF - portfolio invest, % of                                                gdp-ppp, lowcapitalh        float  %9.0g                  IMF - gross priv cap flows, %                                                of gdp-ppp, highcapitall        float  %9.0g                  IMF - gross priv cap flows, %                                                of gdp-ppp, lowcapdumy         byte   %9.0g                  IMF - dummy, 1 if capitall>=5elibdumy        byte   %9.0g                  ECONLIB - dummy for sampleeconfrel        float  %9.0g                  ECONLIB - Lower econ lib 5 yeariecofrel        float  %9.0g                  ECONLIB - ipolate lower econ                                                lib all yearscapitala        float  %9.0g                  QUINN - Quinn capital account                                                openness Acapitalb        float  %9.0g                  QUINN - Quinn capital account                                                openness Bcapitalo        float  %9.0g                  QUINN - lower of dyadic scorescapitlhi        float  %9.0g                  QUINN - higher of dyadic scoresjtcapitl        float  %9.0g                  QUINN - capitala*capitalbicapitlo        float  %9.0g                  QUINN - interpolated capitalokaopena         float  %9.0g                  KAOPEN - Chinn Ito capital                                                opennesskaopenb         float  %9.0g                  KAOPEN - Chinn Ito capital                                                opennesskaopenlo        float  %9.0g                  KAOPEN - lower of dyadic scoreskaopenhi        float  %9.0g                  KAOPEN - higher of dyadic scoresjtkaopen        float  %9.0g                  KAOPEN - kaopena*kaopenbbothnato        byte   %9.0g                  NATO dummybothwarsaw      byte   %9.0g                  WARSAW dummybothboth        byte   %9.0g                  NATO & WARSAW dummynuclear1        byte   %9.0g                  NUKE - either state has nukesnuclear2        byte   %9.0g                  NUKE - both states have nukespolitylo        float  %9.0g                  POLITY - Lower of dyadic scorespolityhi        float  %9.0g                  POLITY - Higher of dyadic scoresjtpolity        float  %9.0g                  POLITY - Product of dyadic                                                scoresdurabllo        byte   %9.0g                  POLITY - Lower of dyadic regime                                                durability scoresceddem1         byte   %9.0g                  CEDERMAN - either democ>=6ceddem2         byte   %9.0g                  CEDERMAN - both democ>=6demyear1        int    %9.0g                  CEDERMAN - ceddem1*yeardemyear2        int    %9.0g                  CEDERMAN - ceddem2*yearautyear1        int    %9.0g                  CEDERMAN - (1-ceddem1)*yearautyear2        int    %9.0g                  CEDERMAN - (1-ceddem2)*yearida             float  %9.0g                  VANDEM - Vanhanen dem Aidb             float  %9.0g                  VANDEM - Vanhanen dem Bidlo            float  %9.0g                  VANDEM - Lower of dyadic scoresidhi            float  %9.0g                  VANDEM - Higher of dyadic scoresjntid           float  %9.0g                  VANDEM - Product of dyadic                                                scoresgasdemlo        byte   %9.0g                  GASTIL - Lower of dyadic scoresgasdemhi        byte   %9.0g                  GASTIL - Higher of dyadic scoresjtgasdem        int    %9.0g                  GASTIL - Product of dyadic                                                scoresdistance        float  %9.0g                  DISTANCE - km's cap to capcntigdum        byte   %9.0g                  CONTIG - 1 if cntig<=4logdist         float  %9.0g                  DISTANCE - ln(km's) cap to capgdpcntig        int    %9.0g                  CONTIG - rgdppclo x cntigdum-------------------------------------------------------------------------------Sorted by:  dyadidyr. summarize;    Variable |       Obs        Mean    Std. Dev.       Min        Max-------------+--------------------------------------------------------    dyadidyr |    386556    3.03e+08    2.09e+08    2020950   9.88e+08      dyadid |    386556    303032.1    209299.6       2020     987990    cntryera |    386556     3026333     2091979      21950    9871992    cntryerb |    386556     5966081     2061539     201950    9901992      statea |    386556    302.4356    209.1978          2        987-------------+--------------------------------------------------------      stateb |    386556    596.4104    206.1538         20        990        year |    386556    1976.221    10.99428       1950       1992       demlo |    306182   -5.121807     5.64725        -10         10       demhi |    306182    3.213203    7.321431        -10         10      jntdem |    306182    1.758771     60.9741       -100        100-------------+--------------------------------------------------------    demdumy2 |    357920    .0721474    .2587322          0          1    demdumy1 |    329196    .5305988    .4990636          0          1       deplo |    356992    .0003635     .002708          0   .1719316       dephi |    356992    .0032817    .0187494          0   1.823015      jntdep |    356992    .0000219    .0004637          0   .0426433-------------+--------------------------------------------------------     alliesr |    386556    .1203189    .3253345          0          1      contig |    386556    .0367631    .1881799          0          1    logdstab |    382786    8.243676    .7826219   1.871744   9.422935     lncaprt |    385330    2.185363    1.731572          0   12.45231    majpdyds |    386556    .0711411    .2570606          0          1-------------+--------------------------------------------------------    maoznewl |    386556    .0047393    .0686792          0          1        warl |    386556    .0005743    .0239578          0          1     deadlyl |    386556    .0010167    .0318691          0          1      sample |    386556           3           0          3          3      waryrs |    386556    15.48272    10.95843          0         42-------------+--------------------------------------------------------    waryear1 |    386556   -3584.514    4219.677     -16848          0    waryear2 |    386556   -5019.611     6658.25     -27440          0    waryear3 |    386556   -4191.499    6117.875     -26657          0     deadyrs |    386556    15.38632    10.93781          0         42    deadyer1 |    386556   -3549.721    4200.882     -16848          0-------------+--------------------------------------------------------    deadyer2 |    386556   -4966.344     6624.09     -27440          0    deadyer3 |    386556   -4143.992    6082.232     -26657          0     maozyrs |    386556    15.14686    10.90403          0         42    _spline1 |    386556   -3468.242     4157.84     -16848          0    _spline2 |    386556   -4842.528    6545.376     -27440          0-------------+--------------------------------------------------------    _spline3 |    386556   -4033.924    6000.317     -26657          0      cinclo |    386099    .0012403    .0036489   9.37e-06   .1788673      cinchi |    386099    .0132058    .0326967   .0000354   .3062891    namerica |    386556    .0156795    .1242324          0          1    samerica |    386556    .0062164     .078599          0          1-------------+--------------------------------------------------------      europe |    386556    .0444153    .2060162          0          1      africa |    386556    .0668519    .2497656          0          1    nafmeast |    386556    .0168384     .128666          0          1        asia |    386556    .0256832    .1581887          0          1     pacific |    386556    .0010037    .0316659          0          1-------------+--------------------------------------------------------    thirdpty |    386556    .1574002    .3641782          0          1    fourprty |    386556    .0565972    .2310717          0          1    rgdppclo |    376538    1760.643    1958.456        221      31969    rgdppchi |    376538    5771.533    5064.802        228      33946    rgdppcl2 |    376538     6935403    2.09e+07      48841   1.02e+09-------------+--------------------------------------------------------    rgdpdist |    372840    219.0749    261.7787   24.28802   6127.489    rgdppcln |    376538    7.096674    .8119377   5.398163   10.37252    rgdppchn |    376538    8.288104    .9024202   5.429346   10.43253    rgdpcln2 |    376538    51.02202    11.95575   29.14016   107.5892    gdpdisln |    372840    .8708714    .1541764   .5787458   3.494618-------------+--------------------------------------------------------     tradelo |    376538    .0004111      .00244  -1.74e-06   .2143973     tradehi |    376538     .004554    .0300137  -2.01e-07   3.488247    jnttrade |    376538    .0000226    .0005474          0   .1261679      openlo |    376538     .175105    .1637382          0   4.144051    demgdplo |    301824   -4659.452    22551.82    -200180     175240-------------+--------------------------------------------------------    demgdpln |    301824   -34.33126    42.65635  -99.04387   97.71326    gdpcontg |    376538    97.88176    769.4142          0      31969    gdplnctg |    376538     .270206    1.399355          0   10.37252     sun2cat |    332593    .7449208      .35802         -1          1     sun3cat |    333575    .6071661    .3134803         -1          1-------------+--------------------------------------------------------    sun2cati |    343209    .7390797     .363546         -1          1    sun3cati |    343550    .6018556     .317913         -1          1    residsun |    269234   -5.51e-10    .3642257  -1.864451   .4195029s_igocount~w |    386401    .7844738    .1130097   .2117172   .9853692    capopenh |    240600    5.337851    1.830518          0          8-------------+--------------------------------------------------------    capopenl |    240600    3.005964    1.627334          0          8    fdi_gdph |    107703    2.184159    2.687646          0   21.94661    fdi_gdpl |    107703    .4112036    .7566671          0   17.38827    ceq_gdph |    135958    .0205995    .1178463          0   1.607674    ceq_gdpl |    135958    .0003922    .0118162          0   1.048658-------------+--------------------------------------------------------      portfh |    107703    11.53776    36.84746          0   632.7358      portfl |    107703    1.991322    2.638628          0   149.9782    capitalh |    108309    13.53817    37.05496   .0454133   633.8746    capitall |    108309    2.693165    3.316286   .0021917   152.5665     capdumy |    386556    .0410445    .1983934          0          1-------------+--------------------------------------------------------    elibdumy |    386556    .2581696    .4376283          0          1    econfrel |     22408    4.528639    1.296381   1.264785   9.137212    iecofrel |     99797    4.590815    1.268847   1.264785   9.137212    capitala |     91572    63.19221    26.97574          0        100    capitalb |     61074     51.8846    24.81231          0        100-------------+--------------------------------------------------------    capitalo |     22123    39.25101     22.2826          0        100    capitlhi |     22123    67.75132    23.76354          0        100    jtcapitl |     22123     2939.63     2304.64          0      10000    icapitlo |     94352     35.3176    19.49778          0        100     kaopena |    135691   -.2668773    1.368401  -1.792686   2.656628-------------+--------------------------------------------------------     kaopenb |    125074    -.186496    1.447048  -1.792686   2.656628    kaopenlo |     81866   -.9768367    .8468477  -1.792686   2.656628    kaopenhi |     81866    .5159293    1.458142  -1.792686   2.656628    jtkaopen |     81866    .0400005    2.026026    -4.7625   7.057672    bothnato |    386556    .0108264    .1034852          0          1-------------+--------------------------------------------------------  bothwarsaw |    386556    .0016531    .0406243          0          1    bothboth |    386556    .0124794    .1110123          0          1    nuclear1 |    386556    .0855115    .2796418          0          1    nuclear2 |    386556    .0012262    .0349959          0          1    politylo |    311914    2.426856    2.792056          0         10-------------+--------------------------------------------------------    polityhi |    311914    6.566222    3.644913          0         10    jtpolity |    311914    20.42596    28.75319          0        100    durabllo |    318380    10.12149    12.31028          0         92     ceddem1 |    386556    .6553281    .4752618          0          1     ceddem2 |    386556    .1777776    .3823259          0          1-------------+--------------------------------------------------------    demyear1 |    386556     1295.55    939.6127          0       1992    demyear2 |    386556    351.7597    756.5053          0       1992    autyear1 |    386556    680.6709    938.5838          0       1992    autyear2 |    386556    1624.461    755.4226          0       1992         ida |    383235    11.08278    12.94046          0       67.8-------------+--------------------------------------------------------         idb |    382043    7.452251     11.4147          0       67.8        idlo |    378757     3.05592    6.735821          0       57.9        idhi |    378757    15.48343    13.48364          0       67.8       jntid |    378757    87.98485    225.0815          0    3468.21    gasdemlo |    259067    3.200882     3.09457          0         12-------------+--------------------------------------------------------    gasdemhi |    259067    7.866598    3.686281          0         12    jtgasdem |    259067    30.74912    36.57963          0        144    distance |    381350    7848.925    4471.738          0   30324.24    cntigdum |    386556    .0303164    .1714568          0          1     logdist |    381350    8.739379     .791926          0    10.3197-------------+--------------------------------------------------------    gdpcntig |    376538    78.19373    691.0059          0      31969. corr demlo demhi deplo sun2cati capopenl rgdppclo gdpcontg contig logdstab majp> dyds allies lncaprt;(obs=166140)             |    demlo    demhi    deplo sun2cati capopenl rgdppclo gdpcontg-------------+---------------------------------------------------------------       demlo |   1.0000       demhi |   0.4431   1.0000       deplo |   0.1573   0.0729   1.0000    sun2cati |  -0.1055  -0.2926   0.0019   1.0000    capopenl |   0.1502   0.1556   0.1512  -0.0491   1.0000    rgdppclo |   0.4311   0.3059   0.3270  -0.1015   0.3244   1.0000    gdpcontg |   0.1448   0.0400   0.5190  -0.0023   0.1022   0.2905   1.0000      contig |   0.0466  -0.0399   0.2705   0.0030   0.0164   0.1029   0.6641    logdstab |   0.0286   0.1553  -0.2592  -0.0399   0.0353  -0.0863  -0.3095    majpdyds |   0.1372   0.1604   0.0978  -0.3845   0.1005   0.1748   0.1393     alliesr |  -0.0301  -0.2449   0.0780   0.1648  -0.0211  -0.0117   0.1413     lncaprt |   0.0972   0.1337  -0.0804  -0.1683   0.0170   0.0108  -0.0246             |   contig logdstab majpdyds  alliesr  lncaprt-------------+---------------------------------------------      contig |   1.0000    logdstab |  -0.4470   1.0000    majpdyds |   0.0942  -0.0121   1.0000     alliesr |   0.2166  -0.4857   0.0079   1.0000     lncaprt |  -0.0276   0.0891   0.2874  -0.0798   1.0000. corr politylo polityhi tradelo sun2cati capopenl rgdppclo gdpcontg contig logds> tab majpdyds alliesr thirdpty fourprty cinclo lncaprt;(obs=179420)             | politylo polityhi  tradelo sun2cati capopenl rgdppclo gdpcontg-------------+---------------------------------------------------------------    politylo |   1.0000    polityhi |   0.4381   1.0000     tradelo |   0.1552   0.0752   1.0000    sun2cati |  -0.1039  -0.3060   0.0033   1.0000    capopenl |   0.1261   0.1467   0.1508  -0.0529   1.0000    rgdppclo |   0.3820   0.2948   0.3238  -0.1071   0.3466   1.0000    gdpcontg |   0.1250   0.0221   0.4792   0.0048   0.1072   0.2996   1.0000      contig |   0.0405  -0.0515   0.2673   0.0107   0.0143   0.0981   0.6416    logdstab |   0.0361   0.1667  -0.2656  -0.0491   0.0312  -0.0884  -0.3089    majpdyds |   0.1308   0.1609   0.0880  -0.3963   0.0982   0.1659   0.1201     alliesr |  -0.0336  -0.2627   0.0822   0.1715  -0.0294  -0.0219   0.1347    thirdpty |   0.0602   0.0830   0.0642  -0.0579  -0.0405   0.1931   0.0743    fourprty |   0.0012  -0.0023   0.0440  -0.0754  -0.0461   0.1044   0.0849      cinclo |   0.1562   0.1236   0.2081  -0.1421  -0.0406   0.1970   0.1479     lncaprt |   0.0856   0.1276  -0.0872  -0.1777   0.0214   0.0120  -0.0272             |   contig logdstab majpdyds  alliesr thirdpty fourprty   cinclo-------------+---------------------------------------------------------------      contig |   1.0000    logdstab |  -0.4506   1.0000    majpdyds |   0.0866  -0.0036   1.0000     alliesr |   0.2190  -0.4809  -0.0017   1.0000    thirdpty |   0.0551  -0.0259   0.0642   0.0660   1.0000    fourprty |   0.1033  -0.1655   0.1066   0.1435  -0.1080   1.0000      cinclo |   0.0958  -0.0206   0.2364  -0.0181   0.0943   0.1016   1.0000     lncaprt |  -0.0278   0.0911   0.2954  -0.0842  -0.0692  -0.0263  -0.2082             |  lncaprt-------------+---------     lncaprt |   1.0000. *_______________________ RESULTS __________________________;. *comment:  TABLE 1;. *Table 1, Model 1:  replication of Oneal and Russett standard model;. logit maoznewl demlo demhi deplo contig logdstab majpdyds alliesr lncaprt namer> ica samerica europe africa nafmeast asia _spline*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -8830.8566Iteration 1:   log pseudolikelihood = -7489.6135Iteration 2:   log pseudolikelihood = -5571.4911Iteration 3:   log pseudolikelihood = -5194.8033Iteration 4:   log pseudolikelihood = -5125.7356Iteration 5:   log pseudolikelihood = -5121.0426Iteration 6:   log pseudolikelihood = -5120.9988Logit estimates                                   Number of obs   =     282287                                                  Wald chi2(17)   =    1868.46                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -5120.9988                 Pseudo R2       =     0.4201                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |   -.064083   .0138524    -4.63   0.000    -.0912332   -.0369327       demhi |   .0355572   .0100476     3.54   0.000     .0158642    .0552502       deplo |  -37.83426   15.87434    -2.38   0.017    -68.94739   -6.721117      contig |   2.002833   .2111868     9.48   0.000     1.588915    2.416752    logdstab |  -.6107716   .0834681    -7.32   0.000    -.7743661   -.4471772    majpdyds |   2.515228    .256669     9.80   0.000     2.012166     3.01829     alliesr |  -.4298568   .2029635    -2.12   0.034     -.827658   -.0320556     lncaprt |  -.3040321   .0547958    -5.55   0.000    -.4114298   -.1966344    namerica |   .1424504   .3378561     0.42   0.673    -.5197354    .8046361    samerica |   1.319061   .4394916     3.00   0.003     .4576735    2.180449      europe |  -.9230515   .2948104    -3.13   0.002    -1.500869   -.3452338      africa |   .4437249   .3202103     1.39   0.166    -.1838757    1.071325    nafmeast |   1.329593   .2667745     4.98   0.000     .8067242    1.852461        asia |   1.317226   .2462235     5.35   0.000     .8346371    1.799815    _spline1 |   .0050789    .000478    10.63   0.000     .0041421    .0060158    _spline2 |  -.0049269    .000568    -8.67   0.000    -.0060402   -.0038136    _spline3 |   .0019854   .0003099     6.41   0.000     .0013781    .0025928       _cons |  -.4676661   .7075987    -0.66   0.509    -1.854534    .9192019------------------------------------------------------------------------------. *Table 1, Model 2:  adding Fin.Open(Low);. logit maoznewl demlo demhi deplo capopenl contig logdstab majpdyds allies lncap> rt namerica samerica europe africa nafmeast asia _spline*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -3866.2247Iteration 1:   log pseudolikelihood = -2662.1586Iteration 2:   log pseudolikelihood = -2274.4224Iteration 3:   log pseudolikelihood = -2181.6338Iteration 4:   log pseudolikelihood = -2170.5742Iteration 5:   log pseudolikelihood = -2170.2699Iteration 6:   log pseudolikelihood = -2170.2696Logit estimates                                   Number of obs   =     174548                                                  Wald chi2(18)   =    1717.58                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -2170.2696                 Pseudo R2       =     0.4387                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.0103302   .0137399    -0.75   0.452    -.0372599    .0165995       demhi |   .0076733   .0121515     0.63   0.528    -.0161433    .0314898       deplo |  -16.91773    10.0734    -1.68   0.093    -36.66124    2.825775    capopenl |  -.1876758   .0528593    -3.55   0.000    -.2912781   -.0840736      contig |   2.759508   .3022431     9.13   0.000     2.167122    3.351893    logdstab |  -.4741632   .0971999    -4.88   0.000    -.6646715    -.283655    majpdyds |   2.030091   .3737902     5.43   0.000     1.297475    2.762706     alliesr |  -.2380895   .2403615    -0.99   0.322    -.7091894    .2330103     lncaprt |  -.1286325   .0597605    -2.15   0.031     -.245761   -.0115041    namerica |    .702069   .4746279     1.48   0.139    -.2281845    1.632323    samerica |   .8872407   .4023514     2.21   0.027     .0986466    1.675835      europe |  -.9167208   .5069616    -1.81   0.071    -1.910347    .0769056      africa |   .1725733   .3626146     0.48   0.634    -.5381383    .8832849    nafmeast |   1.008627   .3140281     3.21   0.001     .3931429    1.624111        asia |   .7063799    .360866     1.96   0.050    -.0009045    1.413664    _spline1 |   .0044839   .0006103     7.35   0.000     .0032877      .00568    _spline2 |  -.0041404   .0006945    -5.96   0.000    -.0055016   -.0027791    _spline3 |   .0015322   .0003537     4.33   0.000      .000839    .0022254       _cons |  -1.135784   .8398733    -1.35   0.176    -2.781905    .5103379------------------------------------------------------------------------------. *Table 1, Model 3:  adding GDPPC(Low);. logit maoznewl demlo demhi deplo capopenl rgdppclo contig logdstab majpdyds all> ies lncaprt namerica samerica europe africa nafmeast asia _spline*, cluster(dya> did);Iteration 0:   log pseudolikelihood = -3844.7016Iteration 1:   log pseudolikelihood = -2633.6847Iteration 2:   log pseudolikelihood = -2249.1361Iteration 3:   log pseudolikelihood = -2157.9441Iteration 4:   log pseudolikelihood = -2146.8762Iteration 5:   log pseudolikelihood = -2146.5645Iteration 6:   log pseudolikelihood = -2146.5641Logit estimates                                   Number of obs   =     171509                                                  Wald chi2(19)   =    1719.86                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -2146.5641                 Pseudo R2       =     0.4417                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |   -.015174   .0139671    -1.09   0.277    -.0425489     .012201       demhi |     .00736    .011995     0.61   0.539    -.0161496    .0308697       deplo |  -24.33123   14.04473    -1.73   0.083     -51.8584    3.195944    capopenl |  -.2115813   .0604193    -3.50   0.000    -.3300009   -.0931617    rgdppclo |   .0000688   .0000371     1.85   0.064    -3.92e-06    .0001415      contig |   2.758124   .3059651     9.01   0.000     2.158443    3.357805    logdstab |  -.4642648   .0966976    -4.80   0.000    -.6537886    -.274741    majpdyds |   1.948112   .3680399     5.29   0.000     1.226767    2.669457     alliesr |  -.2341821   .2356399    -0.99   0.320    -.6960279    .2276637     lncaprt |  -.1272629   .0596413    -2.13   0.033    -.2441578   -.0103681    namerica |   .7250023   .4748017     1.53   0.127    -.2055919    1.655596    samerica |   .8315336   .4009041     2.07   0.038      .045776    1.617291      europe |  -.9871318   .5044451    -1.96   0.050    -1.975826    .0015625      africa |   .2841188   .3632596     0.78   0.434    -.4278569    .9960944    nafmeast |   .8818392   .3198303     2.76   0.006     .2549833    1.508695        asia |   .7719632   .3576881     2.16   0.031     .0709074    1.473019    _spline1 |   .0043965   .0006038     7.28   0.000      .003213      .00558    _spline2 |   -.004033   .0006879    -5.86   0.000    -.0053812   -.0026848    _spline3 |   .0014788   .0003515     4.21   0.000       .00079    .0021677       _cons |  -1.287971   .8301664    -1.55   0.121    -2.915068    .3391248------------------------------------------------------------------------------. *Table 1, Model 4:  adding GDPPC x Contig.;. logit maoznewl demlo demhi deplo capopenl rgdppclo gdpcontg contig logdstab maj> pdyds allies lncaprt namerica samerica europe africa nafmeast asia _spline*, cl> uster(dyadid);Iteration 0:   log pseudolikelihood = -3844.7016Iteration 1:   log pseudolikelihood = -2617.9121Iteration 2:   log pseudolikelihood = -2229.1599Iteration 3:   log pseudolikelihood = -2134.2552Iteration 4:   log pseudolikelihood = -2121.6007Iteration 5:   log pseudolikelihood =  -2121.191Iteration 6:   log pseudolikelihood = -2121.1904Logit estimates                                   Number of obs   =     171509                                                  Wald chi2(20)   =    1698.78                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -2121.1904                 Pseudo R2       =     0.4483                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.0106982   .0128008    -0.84   0.403    -.0357874     .014391       demhi |   .0079644   .0122357     0.65   0.515    -.0160172    .0319459       deplo |  -5.206258   8.472934    -0.61   0.539     -21.8129    11.40039    capopenl |    -.21431   .0588146    -3.64   0.000    -.3295846   -.0990355    rgdppclo |   .0002237   .0000387     5.78   0.000     .0001478    .0002995    gdpcontg |  -.0002853   .0000491    -5.81   0.000    -.0003816    -.000189      contig |   3.428528    .306316    11.19   0.000     2.828159    4.028896    logdstab |  -.4327168   .0928004    -4.66   0.000    -.6146023   -.2508313    majpdyds |   1.973367   .3556581     5.55   0.000      1.27629    2.670444     alliesr |  -.2171982   .2317824    -0.94   0.349    -.6714834     .237087     lncaprt |  -.1294715   .0577738    -2.24   0.025     -.242706    -.016237    namerica |   .7516684   .4771371     1.58   0.115    -.1835032     1.68684    samerica |   .8811208   .3937111     2.24   0.025     .1094613     1.65278      europe |  -.8978271   .4634935    -1.94   0.053    -1.806258    .0106035      africa |   .1780304    .364379     0.49   0.625    -.5361393    .8922002    nafmeast |   .9784537   .3087728     3.17   0.002     .3732702    1.583637        asia |   .6313896   .3644309     1.73   0.083    -.0828818    1.345661    _spline1 |   .0044075   .0006012     7.33   0.000     .0032292    .0055858    _spline2 |  -.0040564   .0006868    -5.91   0.000    -.0054024   -.0027103    _spline3 |   .0015033   .0003518     4.27   0.000     .0008138    .0021929       _cons |  -1.860572   .8088776    -2.30   0.021    -3.445943   -.2752015------------------------------------------------------------------------------. *Table 1, Model 5:  adding Interests;. logit maoznewl demlo demhi deplo capopenl rgdppclo gdpcontg sun2cati contig log> dstab majpdyds allies lncaprt _spline*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -3769.6816Iteration 1:   log pseudolikelihood = -2631.0992Iteration 2:   log pseudolikelihood = -2214.9975Iteration 3:   log pseudolikelihood = -2095.2016Iteration 4:   log pseudolikelihood = -2078.7179Iteration 5:   log pseudolikelihood = -2078.0599Iteration 6:   log pseudolikelihood = -2078.0583Iteration 7:   log pseudolikelihood = -2078.0583Logit estimates                                   Number of obs   =     166140                                                  Wald chi2(15)   =    1607.35                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -2078.0583                 Pseudo R2       =     0.4487                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |   -.017071   .0118821    -1.44   0.151    -.0403595    .0062175       demhi |  -.0021662   .0125426    -0.17   0.863    -.0267492    .0224168       deplo |    -5.4023   9.035829    -0.60   0.550     -23.1122     12.3076    capopenl |  -.2468004   .0581342    -4.25   0.000    -.3607414   -.1328594    rgdppclo |   .0002481   .0000325     7.63   0.000     .0001843    .0003118    gdpcontg |  -.0002776   .0000492    -5.64   0.000    -.0003741   -.0001811    sun2cati |  -.9823773   .2004776    -4.90   0.000    -1.375306   -.5894485      contig |   3.740427   .2733584    13.68   0.000     3.204655      4.2762    logdstab |  -.4164068   .0852833    -4.88   0.000     -.583559   -.2492547    majpdyds |   1.403501   .2733438     5.13   0.000     .8677573    1.939245     alliesr |  -.0072743   .2334317    -0.03   0.975     -.464792    .4502435     lncaprt |   -.150566   .0554963    -2.71   0.007    -.2593367   -.0417953    _spline1 |   .0047446     .00059     8.04   0.000     .0035883     .005901    _spline2 |  -.0043918   .0006835    -6.43   0.000    -.0057313   -.0030522    _spline3 |   .0016421   .0003553     4.62   0.000     .0009457    .0023384       _cons |  -1.087785   .7615027    -1.43   0.153    -2.580303     .404733------------------------------------------------------------------------------. *comment:  Figure 1;. *comment:  TABLE 2;. *Table 2, Model 6:  replication of Model 1 for wars;. logit warl demlo demhi deplo contig logdstab majpdyds alliesr lncaprt namerica > samerica europe africa nafmeast asia waryear*, cluster(dyadid);note: samerica != 0 predicts failure perfectly      samerica dropped and 2092 obs not usedIteration 0:   log pseudolikelihood = -1421.8039Iteration 1:   log pseudolikelihood = -1158.8218Iteration 2:   log pseudolikelihood = -987.48442Iteration 3:   log pseudolikelihood = -916.01318Iteration 4:   log pseudolikelihood = -894.44986Iteration 5:   log pseudolikelihood = -891.06523Iteration 6:   log pseudolikelihood = -890.86237Iteration 7:   log pseudolikelihood = -890.85915Iteration 8:   log pseudolikelihood = -890.85914Logit estimates                                   Number of obs   =     280195                                                  Wald chi2(16)   =     519.42                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -890.85914                 Pseudo R2       =     0.3734                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust        warl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.1260444   .0284219    -4.43   0.000    -.1817504   -.0703385       demhi |   .0232332   .0241284     0.96   0.336    -.0240576     .070524       deplo |  -213.2004   334.1007    -0.64   0.523    -868.0258    441.6249      contig |   .4951474   .4462807     1.11   0.267    -.3795467    1.369841    logdstab |  -.6505334   .1327416    -4.90   0.000    -.9107021   -.3903646    majpdyds |   3.980568    .479259     8.31   0.000     3.041237    4.919898     alliesr |    -1.2019   .4551198    -2.64   0.008    -2.093919   -.3098819     lncaprt |  -.8649718   .1229895    -7.03   0.000    -1.106027   -.6239168    namerica |  -.4935926   .9559031    -0.52   0.606    -2.367128    1.379943      europe |  -2.554542   1.114035    -2.29   0.022    -4.738011   -.3710737      africa |  -.4738773   .6722327    -0.70   0.481    -1.791429    .8436745    nafmeast |   1.784424   .4950067     3.60   0.000     .8142292     2.75462        asia |    1.80444   .4528823     3.98   0.000      .916807    2.692073    waryear1 |   .0079891   .0014793     5.40   0.000     .0050898    .0108885    waryear2 |  -.0076621   .0017405    -4.40   0.000    -.0110733   -.0042508    waryear3 |   .0030154   .0009585     3.15   0.002     .0011369     .004894       _cons |  -1.074526   1.087591    -0.99   0.323    -3.206166    1.057113------------------------------------------------------------------------------note: 902 failures and 0 successes completely determined.. *Table 2, Model 7:  adding Fin.Open.(Low), GDPPC(Low) and GDPPC x Contig.;. logit warl demlo demhi deplo capopenl rgdppclo gdpcontg contig logdstab majpdyd> s allies lncaprt namerica samerica europe africa nafmeast asia waryear*, cluste> r(dyadid);note: samerica != 0 predicts failure perfectly      samerica dropped and 1434 obs not usednote: europe != 0 predicts failure perfectly      europe dropped and 4881 obs not usedIteration 0:   log pseudolikelihood = -381.34837Iteration 1:   log pseudolikelihood = -259.22011Iteration 2:   log pseudolikelihood = -208.87217Iteration 3:   log pseudolikelihood = -188.18579Iteration 4:   log pseudolikelihood = -181.85943Iteration 5:   log pseudolikelihood =  -180.7777Iteration 6:   log pseudolikelihood = -180.72566Iteration 7:   log pseudolikelihood = -180.72548Logit estimates                                   Number of obs   =     165194                                                  Wald chi2(18)   =     312.07                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -180.72548                 Pseudo R2       =     0.5261                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust        warl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |   .0369207   .0660957     0.56   0.576    -.0926245     .166466       demhi |  -.0078571   .0510839    -0.15   0.878    -.1079796    .0922654       deplo |  -48.75675   125.1016    -0.39   0.697    -293.9513    196.4378    capopenl |  -.4642266   .1605818    -2.89   0.004    -.7789612    -.149492    rgdppclo |   .0002663   .0000713     3.73   0.000     .0001265    .0004061    gdpcontg |  -.0004188   .0001918    -2.18   0.029    -.0007948   -.0000428      contig |   4.655373   .7190994     6.47   0.000     3.245964    6.064782    logdstab |  -.2937007   .1913222    -1.54   0.125    -.6686853    .0812839    majpdyds |   1.550236   1.257079     1.23   0.217    -.9135938    4.014067     alliesr |  -1.052513   .6435958    -1.64   0.102    -2.313937    .2089121     lncaprt |  -.6950039   .2290588    -3.03   0.002    -1.143951   -.2460569    namerica |   1.087461   .9509818     1.14   0.253    -.7764289    2.951351      africa |   .6289773   .9516054     0.66   0.509    -1.236135     2.49409    nafmeast |   2.364471    .633786     3.73   0.000     1.122273    3.606668        asia |   -.234232   .8431559    -0.28   0.781    -1.886787    1.418323    waryear1 |   .0034264   .0015949     2.15   0.032     .0003005    .0065523    waryear2 |  -.0028122   .0018266    -1.54   0.124    -.0063923    .0007678    waryear3 |   .0008086   .0009465     0.85   0.393    -.0010464    .0026637       _cons |  -4.760347   1.777263    -2.68   0.007    -8.243719   -1.276975------------------------------------------------------------------------------. *Table 2, Model 8:  replication of Model 1 for fatal MIDS;. logit deadlyl demlo demhi deplo contig logdstab majpdyds alliesr lncaprt nameri> ca samerica europe africa nafmeast asia deadyer*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -2381.2664Iteration 1:   log pseudolikelihood = -1841.6852Iteration 2:   log pseudolikelihood =  -1676.765Iteration 3:   log pseudolikelihood = -1612.0452Iteration 4:   log pseudolikelihood = -1606.9581Iteration 5:   log pseudolikelihood = -1606.8486Iteration 6:   log pseudolikelihood = -1606.8485Logit estimates                                   Number of obs   =     282287                                                  Wald chi2(17)   =    1796.80                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -1606.8485                 Pseudo R2       =     0.3252                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust     deadlyl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.0468845    .027844    -1.68   0.092    -.1014576    .0076887       demhi |   .0337434   .0155469     2.17   0.030      .003272    .0642147       deplo |   -165.601   76.73776    -2.16   0.031    -316.0042   -15.19775      contig |    2.28265   .3132167     7.29   0.000     1.668756    2.896543    logdstab |  -.5897679    .095462    -6.18   0.000      -.77687   -.4026659    majpdyds |   2.180638   .4276859     5.10   0.000     1.342389    3.018887     alliesr |  -.2428628   .3016112    -0.81   0.421    -.8340098    .3482842     lncaprt |   -.342263   .0657644    -5.20   0.000    -.4711588   -.2133672    namerica |   -.171935   .4573022    -0.38   0.707    -1.068231    .7243608    samerica |   .7952062   .7130699     1.12   0.265    -.6023852    2.192798      europe |   -.904665   .4306193    -2.10   0.036    -1.748663   -.0606668      africa |   .4002166   .3953294     1.01   0.311    -.3746147    1.175048    nafmeast |   1.448097   .3171566     4.57   0.000     .8264813    2.069712        asia |   1.247878   .3753424     3.32   0.001     .5122202    1.983536    deadyer1 |   .0014235   .0006017     2.37   0.018     .0002442    .0026028    deadyer2 |  -.0008815   .0007158    -1.23   0.218    -.0022843    .0005214    deadyer3 |   .0000595    .000394     0.15   0.880    -.0007128    .0008317       _cons |  -2.384337   .8106232    -2.94   0.003     -3.97313   -.7955451------------------------------------------------------------------------------note: 84 failures and 0 successes completely determined.. *Table 2, Model 9:  adding Fin.Open.(Low), GDPPC(Low) and GDPPC x Contig.;. logit deadlyl demlo demhi deplo capopenl rgdppclo gdpcontg contig logdstab majp> dyds allies lncaprt namerica samerica europe africa nafmeast asia deadyer*, clu> ster(dyadid);Iteration 0:   log pseudolikelihood = -1049.5984Iteration 1:   log pseudolikelihood = -772.53407Iteration 2:   log pseudolikelihood = -705.32325Iteration 3:   log pseudolikelihood = -690.99832Iteration 4:   log pseudolikelihood = -689.60793Iteration 5:   log pseudolikelihood = -689.58638Iteration 6:   log pseudolikelihood = -689.58637Logit estimates                                   Number of obs   =     171509                                                  Wald chi2(20)   =    1170.63                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -689.58637                 Pseudo R2       =     0.3430                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust     deadlyl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.0271042   .0277339    -0.98   0.328    -.0814618    .0272533       demhi |   .0281801   .0226366     1.24   0.213    -.0161868    .0725471       deplo |  -85.25077   65.48827    -1.30   0.193    -213.6054    43.10389    capopenl |   -.164747   .0750805    -2.19   0.028    -.3119021   -.0175918    rgdppclo |   .0001817   .0000482     3.77   0.000     .0000873    .0002761    gdpcontg |    -.00023   .0000843    -2.73   0.006    -.0003952   -.0000649      contig |   3.358525   .3884049     8.65   0.000     2.597265    4.119784    logdstab |  -.4190784   .1184741    -3.54   0.000    -.6512834   -.1868734    majpdyds |   1.417607   .4745283     2.99   0.003     .4875489    2.347665     alliesr |    .157341   .4469746     0.35   0.725    -.7187131    1.033395     lncaprt |  -.1789726   .0850429    -2.10   0.035    -.3456536   -.0122917    namerica |   .6320821   .5606694     1.13   0.260    -.4668096    1.730974    samerica |   .2432073   1.015588     0.24   0.811    -1.747308    2.233723      europe |  -1.385948   1.070748    -1.29   0.196    -3.484574    .7126791      africa |   .5325241   .5282955     1.01   0.313    -.5029161    1.567964    nafmeast |   1.550098   .3849073     4.03   0.000     .7956935    2.304502        asia |   1.531672   .5046045     3.04   0.002     .5426653    2.520679    deadyer1 |   .0012959   .0008973     1.44   0.149    -.0004629    .0030546    deadyer2 |  -.0006494   .0010189    -0.64   0.524    -.0026463    .0013476    deadyer3 |   -.000113   .0005216    -0.22   0.828    -.0011353    .0009092       _cons |  -4.231955   1.013003    -4.18   0.000    -6.217405   -2.246506------------------------------------------------------------------------------note: 14 failures and 0 successes completely determined.. *Appendix - Table 3;. *comment:  different measures of democracy;. *Polity IV;. logit maoznewl politylo polityhi tradelo sun2cati capopenl rgdppclo gdpcontg co> ntig distance majpdyds alliesr thirdpty fourprty cinclo lncaprt _spline*, clust> er(dyadid);Iteration 0:   log pseudolikelihood = -4385.0123Iteration 1:   log pseudolikelihood =  -3157.718Iteration 2:   log pseudolikelihood = -2673.2909Iteration 3:   log pseudolikelihood = -2499.9506Iteration 4:   log pseudolikelihood = -2471.4861Iteration 5:   log pseudolikelihood =  -2469.125Iteration 6:   log pseudolikelihood = -2469.0991Iteration 7:   log pseudolikelihood = -2469.0991Logit estimates                                   Number of obs   =     179091                                                  Wald chi2(18)   =    1968.02                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -2469.0991                 Pseudo R2       =     0.4369                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------    politylo |  -.0231446   .0244637    -0.95   0.344    -.0710925    .0248033    polityhi |  -.0005504   .0220432    -0.02   0.980    -.0437542    .0426534     tradelo |   2.663595   6.726213     0.40   0.692    -10.51954    15.84673    sun2cati |   -1.02562   .1673219    -6.13   0.000    -1.353565   -.6976753    capopenl |  -.1450912   .0446339    -3.25   0.001    -.2325721   -.0576104    rgdppclo |   .0001295   .0000273     4.75   0.000      .000076    .0001829    gdpcontg |  -.0002689   .0000449    -5.99   0.000    -.0003569   -.0001809      contig |   3.270745    .211527    15.46   0.000     2.856159     3.68533    distance |  -.0002101   .0000386    -5.44   0.000    -.0002858   -.0001344    majpdyds |   1.296125   .2451424     5.29   0.000     .8156551    1.776596     alliesr |  -.1479463   .1774675    -0.83   0.404    -.4957762    .1998835    thirdpty |   .4744496   .1523182     3.11   0.002     .1759115    .7729877    fourprty |   1.137064    .141312     8.05   0.000     .8600978    1.414031      cinclo |   9.920201   8.814032     1.13   0.260    -7.354984    27.19539     lncaprt |  -.1345578   .0523115    -2.57   0.010    -.2370864   -.0320291    _spline1 |   .0043038   .0005125     8.40   0.000     .0032993    .0053084    _spline2 |  -.0036914   .0005916    -6.24   0.000    -.0048508   -.0025319    _spline3 |   .0011546   .0003054     3.78   0.000     .0005561    .0017532       _cons |  -3.174801   .2901881   -10.94   0.000    -3.743559   -2.606043------------------------------------------------------------------------------. *Polity IV:  adding capitall;. logit maoznewl politylo polityhi tradelo sun2cati capitall rgdppcln gdplnctg co> ntig logdstab majpdyds alliesr thirdpty fourprty cinclo lncaprt _spline*, clust> er(dyadid);Iteration 0:   log pseudolikelihood = -1523.0204Iteration 1:   log pseudolikelihood = -950.52297Iteration 2:   log pseudolikelihood = -803.72654Iteration 3:   log pseudolikelihood =  -761.5826Iteration 4:   log pseudolikelihood = -752.89697Iteration 5:   log pseudolikelihood = -752.13737Iteration 6:   log pseudolikelihood = -752.12684Iteration 7:   log pseudolikelihood = -752.12684Logit estimates                                   Number of obs   =      78007                                                  Wald chi2(18)   =    1133.45                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -752.12684                 Pseudo R2       =     0.5062                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------    politylo |  -.0559215   .0352675    -1.59   0.113    -.1250446    .0132015    polityhi |   .0074477   .0409315     0.18   0.856    -.0727766     .087672     tradelo |  -5.301121   35.43489    -0.15   0.881    -74.75222    64.14998    sun2cati |  -.9848341   .2508148    -3.93   0.000    -1.476422   -.4932461    capitall |  -.2033827   .0659059    -3.09   0.002    -.3325559   -.0742096    rgdppcln |    1.08046   .2185247     4.94   0.000     .6521596    1.508761    gdplnctg |  -1.062199   .2604527    -4.08   0.000    -1.572677   -.5517211      contig |   10.61164   2.090332     5.08   0.000      6.51466    14.70861    logdstab |  -.3620679    .134628    -2.69   0.007    -.6259339   -.0982019    majpdyds |   .7840276   .3593746     2.18   0.029     .0796663    1.488389     alliesr |   .3087949    .284749     1.08   0.278    -.2493029    .8668927    thirdpty |   .5429463   .2398717     2.26   0.024     .0728064    1.013086    fourprty |   .8504847   .2206868     3.85   0.000     .4179466    1.283023      cinclo |   15.19939    8.97966     1.69   0.091    -2.400421     32.7992     lncaprt |   .0290997   .0786703     0.37   0.711    -.1250912    .1832906    _spline1 |   .0053028   .0008858     5.99   0.000     .0035667    .0070389    _spline2 |  -.0048159   .0010091    -4.77   0.000    -.0067936   -.0028382    _spline3 |   .0017474   .0005071     3.45   0.001     .0007536    .0027413       _cons |  -9.191209   2.105694    -4.36   0.000    -13.31829   -5.064124------------------------------------------------------------------------------note: 1 failure and 0 successes completely determined.. *Polity IV:  adding fdi_gdpl;. logit maoznewl politylo polityhi tradelo sun2cati fdi_gdpl rgdppcln gdplnctg co> ntig logdstab majpdyds alliesr thirdpty fourprty cinclo lncaprt _spline*, clust> er(dyadid);Iteration 0:   log pseudolikelihood = -1523.0204Iteration 1:   log pseudolikelihood = -951.08605Iteration 2:   log pseudolikelihood = -804.99169Iteration 3:   log pseudolikelihood =  -762.0718Iteration 4:   log pseudolikelihood = -752.57899Iteration 5:   log pseudolikelihood = -751.69814Iteration 6:   log pseudolikelihood = -751.68541Iteration 7:   log pseudolikelihood =  -751.6854Logit estimates                                   Number of obs   =      78007                                                  Wald chi2(18)   =    1122.93                                                  Prob > chi2     =     0.0000Log pseudolikelihood =  -751.6854                 Pseudo R2       =     0.5065                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------    politylo |  -.0310687   .0352359    -0.88   0.378    -.1001299    .0379924    polityhi |    .007294   .0398537     0.18   0.855    -.0708178    .0854058     tradelo |   6.869458   32.11797     0.21   0.831    -56.08061    69.81953    sun2cati |  -.9514643   .2575938    -3.69   0.000    -1.456339   -.4465897    fdi_gdpl |  -1.126686   .3964769    -2.84   0.004    -1.903766   -.3496055    rgdppcln |   .9530759   .2018075     4.72   0.000     .5575405    1.348611    gdplnctg |  -1.039348   .2546314    -4.08   0.000    -1.538416   -.5402797      contig |   10.48023   2.026449     5.17   0.000     6.508465      14.452    logdstab |  -.3533998    .130109    -2.72   0.007    -.6084088   -.0983907    majpdyds |   .9046907   .3625301     2.50   0.013     .1941448    1.615237     alliesr |   .3429459   .2968627     1.16   0.248    -.2388944    .9247862    thirdpty |   .5112865   .2388264     2.14   0.032     .0431953    .9793777    fourprty |   .8108608   .2245542     3.61   0.000     .3707427    1.250979      cinclo |   18.21655    9.27036     1.97   0.049     .0469747    36.38612     lncaprt |   .0550725   .0795422     0.69   0.489    -.1008274    .2109723    _spline1 |   .0052876    .000899     5.88   0.000     .0035257    .0070496    _spline2 |  -.0047883   .0010265    -4.66   0.000    -.0068001   -.0027765    _spline3 |   .0017273   .0005165     3.34   0.001      .000715    .0027396       _cons |  -8.679971   2.041208    -4.25   0.000    -12.68067   -4.679276------------------------------------------------------------------------------note: 14 failures and 0 successes completely determined.. *Polity IV:  adding portfl;. logit maoznewl politylo polityhi tradelo sun2cati portfl rgdppcln gdplnctg cont> ig logdstab majpdyds alliesr thirdpty fourprty cinclo lncaprt _spline*, cluster> (dyadid);Iteration 0:   log pseudolikelihood = -1523.0204Iteration 1:   log pseudolikelihood = -951.31627Iteration 2:   log pseudolikelihood =  -807.0399Iteration 3:   log pseudolikelihood = -767.11331Iteration 4:   log pseudolikelihood = -759.27698Iteration 5:   log pseudolikelihood = -758.62933Iteration 6:   log pseudolikelihood = -758.62148Iteration 7:   log pseudolikelihood = -758.62148Logit estimates                                   Number of obs   =      78007                                                  Wald chi2(18)   =    1158.04                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -758.62148                 Pseudo R2       =     0.5019                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------    politylo |  -.0524983   .0356019    -1.47   0.140    -.1222768    .0172802    polityhi |   .0078128   .0414547     0.19   0.851    -.0734369    .0890625     tradelo |  -11.87426   34.67045    -0.34   0.732     -79.8271    56.07858    sun2cati |  -.9723761   .2589888    -3.75   0.000    -1.479985   -.4647674      portfl |  -.1502979   .0651391    -2.31   0.021    -.2779683   -.0226276    rgdppcln |   .9285612   .2070273     4.49   0.000     .5227951    1.334327    gdplnctg |  -1.021812   .2500836    -4.09   0.000    -1.511966   -.5316568      contig |   10.32162   2.019379     5.11   0.000     6.363708    14.27953    logdstab |  -.3550312   .1400972    -2.53   0.011    -.6296167   -.0804458    majpdyds |   .7651725    .364725     2.10   0.036     .0503247     1.48002     alliesr |   .2707294   .2905996     0.93   0.352    -.2988352    .8402941    thirdpty |   .6138213   .2352904     2.61   0.009     .1526606    1.074982    fourprty |   .9192586   .2184873     4.21   0.000     .4910313    1.347486      cinclo |   16.96713   8.971804     1.89   0.059      -.61728    34.55155     lncaprt |   .0224716    .079724     0.28   0.778    -.1337845    .1787278    _spline1 |   .0054153   .0009006     6.01   0.000     .0036501    .0071805    _spline2 |  -.0049409   .0010231    -4.83   0.000    -.0069463   -.0029356    _spline3 |   .0018059   .0005119     3.53   0.000     .0008027    .0028091       _cons |  -8.281876    2.07891    -3.98   0.000    -12.35646   -4.207288------------------------------------------------------------------------------. *Polity IV:  adding openlo and mousseau;. logit maoznewl politylo polityhi demgdpln tradelo openlo sun2cati capopenl rgdp> pcln gdplnctg contig logdstab majpdyds alliesr thirdpty fourprty cinclo lncaprt>  _spline*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -4308.3258Iteration 1:   log pseudolikelihood = -3087.2998Iteration 2:   log pseudolikelihood = -2605.5981Iteration 3:   log pseudolikelihood = -2426.0741Iteration 4:   log pseudolikelihood = -2403.8545Iteration 5:   log pseudolikelihood = -2402.6512Iteration 6:   log pseudolikelihood = -2402.6451Logit estimates                                   Number of obs   =     172067                                                  Wald chi2(20)   =    2010.95                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -2402.6451                 Pseudo R2       =     0.4423                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------    politylo |  -.1508343   .1430252    -1.05   0.292    -.4311585    .1294899    polityhi |  -.0097397   .0241019    -0.40   0.686    -.0569786    .0374992    demgdpln |   .0060096   .0083315     0.72   0.471    -.0103199    .0223391     tradelo |   -1.54902   8.031472    -0.19   0.847    -17.29042    14.19237      openlo |  -.7932006   .6075522    -1.31   0.192    -1.983981    .3975798    sun2cati |  -.9003903   .1706999    -5.27   0.000    -1.234956   -.5658246    capopenl |  -.1616109   .0429181    -3.77   0.000    -.2457288   -.0774929    rgdppcln |   .9321211   .1264625     7.37   0.000     .6842591    1.179983    gdplnctg |  -1.100952   .1384212    -7.95   0.000    -1.372253   -.8296514      contig |    10.8854   1.082954    10.05   0.000     8.762853    13.00796    logdstab |  -.4149443   .0806477    -5.15   0.000    -.5730108   -.2568777    majpdyds |   1.093388   .2354836     4.64   0.000     .6318487    1.554928     alliesr |  -.1332385   .1982974    -0.67   0.502    -.5218943    .2554173    thirdpty |   .4605537   .1437715     3.20   0.001     .1787667    .7423406    fourprty |   1.103195   .1342464     8.22   0.000     .8400768    1.366313      cinclo |   8.069428   7.797717     1.03   0.301    -7.213817    23.35267     lncaprt |  -.1098197   .0514159    -2.14   0.033     -.210593   -.0090464    _spline1 |   .0041928   .0005131     8.17   0.000     .0031871    .0051986    _spline2 |   -.003562   .0005972    -5.96   0.000    -.0047326   -.0023915    _spline3 |   .0010981   .0003096     3.55   0.000     .0004912     .001705       _cons |  -6.913113   1.140842    -6.06   0.000    -9.149121   -4.677104------------------------------------------------------------------------------. *demdummy;. logit maoznewl demdumy2 deplo sun2cati capopenl rgdppcln gdplnctg contig logdst> ab majpdyds alliesr thirdpty fourprty cinclo lncaprt namerica samerica europe a> frica nafmeast asia _spline*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -4035.2328Iteration 1:   log pseudolikelihood = -2699.1589Iteration 2:   log pseudolikelihood = -2266.0228Iteration 3:   log pseudolikelihood = -2149.3179Iteration 4:   log pseudolikelihood = -2128.4704Iteration 5:   log pseudolikelihood = -2127.1572Iteration 6:   log pseudolikelihood =  -2127.148Iteration 7:   log pseudolikelihood =  -2127.148Logit estimates                                   Number of obs   =     195189                                                  Wald chi2(23)   =    1894.03                                                  Prob > chi2     =     0.0000Log pseudolikelihood =  -2127.148                 Pseudo R2       =     0.4729                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------    demdumy2 |  -.1272544   .2218407    -0.57   0.566    -.5620543    .3075454       deplo |  -5.205534   7.752276    -0.67   0.502    -20.39972    9.988647    sun2cati |  -1.094938   .1903649    -5.75   0.000    -1.468046   -.7218295    capopenl |  -.1685831   .0472397    -3.57   0.000    -.2611712    -.075995    rgdppcln |   .9097268   .1393985     6.53   0.000     .6365108    1.182943    gdplnctg |  -1.156175   .1715714    -6.74   0.000    -1.492449   -.8199014      contig |    11.5034   1.321761     8.70   0.000       8.9128    14.09401    logdstab |  -.3676234   .0796753    -4.61   0.000    -.5237841   -.2114628    majpdyds |   1.265917    .282099     4.49   0.000     .7130128    1.818821     alliesr |   .1517688   .2030292     0.75   0.455     -.246161    .5496987    thirdpty |   .2840716   .1677218     1.69   0.090    -.0446571    .6128004    fourprty |   .9853377   .1522201     6.47   0.000     .6869917    1.283684      cinclo |  -1.146425   14.49313    -0.08   0.937    -29.55244    27.25959     lncaprt |  -.1490708   .0534199    -2.79   0.005     -.253772   -.0443696    namerica |   .2963859   .4069774     0.73   0.466    -.5012752    1.094047    samerica |   .8409568   .3808864     2.21   0.027     .0944332     1.58748      europe |  -.3711871   .4336703    -0.86   0.392    -1.221165    .4787911      africa |   .0855162   .3393437     0.25   0.801    -.5795852    .7506176    nafmeast |    .559579   .3114809     1.80   0.072    -.0509123     1.17007        asia |   1.374104   .3447222     3.99   0.000     .6984608    2.049747    _spline1 |   .0041452   .0005291     7.83   0.000     .0031082    .0051821    _spline2 |   -.003861    .000624    -6.19   0.000     -.005084   -.0026381    _spline3 |   .0014786    .000336     4.40   0.000     .0008201    .0021372       _cons |  -8.263908   1.280058    -6.46   0.000    -10.77278    -5.75504------------------------------------------------------------------------------. *idlo idhi Vanhanen data;. logit maoznewl idlo idhi tradelo sun2cati iecofrel rgdppcln gdplnctg contig log> dstab majpdyds alliesr thirdpty fourprty cinclo lncaprt namerica samerica europ> e africa nafmeast asia _spline*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -2132.1889Iteration 1:   log pseudolikelihood = -1408.1111Iteration 2:   log pseudolikelihood = -1155.5165Iteration 3:   log pseudolikelihood = -1082.4371Iteration 4:   log pseudolikelihood = -1070.5527Iteration 5:   log pseudolikelihood = -1069.7025Iteration 6:   log pseudolikelihood = -1069.6946Iteration 7:   log pseudolikelihood = -1069.6946Logit estimates                                   Number of obs   =      89149                                                  Wald chi2(24)   =    1560.43                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -1069.6946                 Pseudo R2       =     0.4983                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------        idlo |   .0019378   .0125531     0.15   0.877    -.0226659    .0265414        idhi |  -.0137143   .0112308    -1.22   0.222    -.0357263    .0082978     tradelo |   3.278897   7.325336     0.45   0.654     -11.0785    17.63629    sun2cati |  -1.315896   .2055751    -6.40   0.000    -1.718816   -.9129764    iecofrel |  -.3087601   .0845489    -3.65   0.000    -.4744728   -.1430473    rgdppcln |   .7022228   .1764891     3.98   0.000     .3563104    1.048135    gdplnctg |  -.5824653   .2456609    -2.37   0.018    -1.063952   -.1009787      contig |   6.937583   1.944796     3.57   0.000     3.125852    10.74931    logdstab |  -.2841512   .1345914    -2.11   0.035    -.5479456   -.0203568    majpdyds |   .7911217    .278031     2.85   0.004     .2461911    1.336052     alliesr |   .2129033   .2585039     0.82   0.410     -.293755    .7195617    thirdpty |   .6149607   .2373546     2.59   0.010     .1497543    1.080167    fourprty |   .7952177   .2412375     3.30   0.001     .3224009    1.268034      cinclo |  -11.13757   5.292379    -2.10   0.035    -21.51044   -.7646949     lncaprt |  -.0661376   .0827666    -0.80   0.424    -.2283572     .096082    namerica |   .1548799   .4472441     0.35   0.729    -.7217024    1.031462    samerica |   .1717583   .4958648     0.35   0.729    -.8001188    1.143635      europe |  -.4536827   .4361015    -1.04   0.298    -1.308426    .4010605      africa |  -.1679953   .6057949    -0.28   0.782    -1.355332    1.019341    nafmeast |    .143674   .4684538     0.31   0.759    -.7744785    1.061826        asia |   1.588216    .414032     3.84   0.000     .7767283    2.399704    _spline1 |   .0054113   .0007452     7.26   0.000     .0039507    .0068718    _spline2 |  -.0052021   .0008698    -5.98   0.000    -.0069068   -.0034974    _spline3 |   .0020854   .0004552     4.58   0.000     .0011932    .0029776       _cons |  -5.526979   1.739951    -3.18   0.001    -8.937221   -2.116737------------------------------------------------------------------------------. *jntid Vanhanen data and KAOPEN data;. logit maoznewl jntid tradelo sun2cati kaopenlo rgdppcln gdplnctg contig logdsta> b majpdyds alliesr thirdpty fourprty cinclo lncaprt namerica samerica europe af> rica nafmeast asia _spline*, cluster(dyadid);Iteration 0:   log pseudolikelihood =  -1542.171Iteration 1:   log pseudolikelihood = -976.41175Iteration 2:   log pseudolikelihood = -818.73192Iteration 3:   log pseudolikelihood = -774.14639Iteration 4:   log pseudolikelihood = -765.40882Iteration 5:   log pseudolikelihood = -764.62884Iteration 6:   log pseudolikelihood = -764.61822Iteration 7:   log pseudolikelihood = -764.61822Logit estimates                                   Number of obs   =      76556                                                  Wald chi2(23)   =    1215.28                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -764.61822                 Pseudo R2       =     0.5042                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       jntid |  -.0004368   .0004407    -0.99   0.322    -.0013006     .000427     tradelo |   4.731886   14.76818     0.32   0.749    -24.21322    33.67699    sun2cati |  -.9034563    .284324    -3.18   0.001    -1.460721   -.3461914    kaopenlo |  -.2762551   .1080555    -2.56   0.011      -.48804   -.0644701    rgdppcln |   .6831202    .189245     3.61   0.000     .3122068    1.054034    gdplnctg |  -1.086929   .2502812    -4.34   0.000    -1.577471   -.5963863      contig |   10.58523   2.034124     5.20   0.000     6.598419    14.57204    logdstab |  -.4994289   .1524495    -3.28   0.001    -.7982244   -.2006335    majpdyds |   1.077433   .3723135     2.89   0.004     .3477119    1.807154     alliesr |   .1524706   .2685707     0.57   0.570    -.3739182    .6788595    thirdpty |   .5833357   .2364282     2.47   0.014      .119945    1.046726    fourprty |   1.033814   .2260369     4.57   0.000     .5907902    1.476839      cinclo |   65.10425   18.47918     3.52   0.000     28.88572    101.3228     lncaprt |   .0695978   .0744728     0.93   0.350    -.0763662    .2155619    namerica |  -.1018903   .5121579    -0.20   0.842    -1.105701    .9019207    samerica |   .4491855   .5672223     0.79   0.428    -.6625498    1.560921      europe |   -.611693   .8203223    -0.75   0.456    -2.219495    .9961092      africa |  -.5730832   .5577352    -1.03   0.304    -1.666224    .5200576    nafmeast |   -.007591   .5299743    -0.01   0.989    -1.046322     1.03114        asia |   1.456357   .4624656     3.15   0.002      .549941    2.362773    _spline1 |   .0050563   .0008984     5.63   0.000     .0032953    .0068172    _spline2 |  -.0046399   .0010236    -4.53   0.000    -.0066461   -.0026337    _spline3 |   .0017254   .0005166     3.34   0.001     .0007129     .002738       _cons |  -6.256743   2.034582    -3.08   0.002    -10.24445   -2.269036------------------------------------------------------------------------------. *gasdemlo gasdemhi Gastil Freedom House data;. logit maoznewl gasdemlo gasdemhi tradelo sun2cati fdi_gdpl rgdppcln gdplnctg cn> tigdum logdist majpdyds alliesr thirdpty fourprty cinclo lncaprt namerica samer> ica europe africa nafmeast asia _spline*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -1676.7725Iteration 1:   log pseudolikelihood = -1093.2002Iteration 2:   log pseudolikelihood = -902.79912Iteration 3:   log pseudolikelihood = -848.80121Iteration 4:   log pseudolikelihood = -838.76942Iteration 5:   log pseudolikelihood =  -838.0622Iteration 6:   log pseudolikelihood = -838.05611Iteration 7:   log pseudolikelihood = -838.05611Logit estimates                                   Number of obs   =      98073                                                  Wald chi2(24)   =    1334.18                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -838.05611                 Pseudo R2       =     0.5002                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------    gasdemlo |  -.0622148   .0429857    -1.45   0.148    -.1464653    .0220356    gasdemhi |  -.0153981   .0476959    -0.32   0.747    -.1088804    .0780843     tradelo |  -10.11367     34.463    -0.29   0.769    -77.65992    57.43257    sun2cati |  -1.292314   .3078575    -4.20   0.000    -1.895703   -.6889241    fdi_gdpl |  -1.007472   .3904564    -2.58   0.010    -1.772752   -.2421913    rgdppcln |   .4095437   .2121867     1.93   0.054    -.0063347     .825422    gdplnctg |   .0719897   .1070208     0.67   0.501    -.1377673    .2817466    cntigdum |   2.061749   .8742772     2.36   0.018     .3481972    3.775301     logdist |  -.3629987   .1246036    -2.91   0.004    -.6072172   -.1187802    majpdyds |   1.710138   .3899977     4.38   0.000      .945757     2.47452     alliesr |   .4947598   .2945606     1.68   0.093    -.0825683    1.072088    thirdpty |   .6909682   .2512996     2.75   0.006     .1984302    1.183506    fourprty |   .8597341   .2570012     3.35   0.001      .356021    1.363447      cinclo |   -23.0992   12.95011    -1.78   0.074    -48.48094    2.282542     lncaprt |  -.1614782   .0717428    -2.25   0.024    -.3020915   -.0208649    namerica |   .1413091   .4971303     0.28   0.776    -.8330485    1.115667    samerica |   .3704362   .5443267     0.68   0.496    -.6964246    1.437297      europe |  -1.162125   .8527476    -1.36   0.173    -2.833479    .5092297      africa |   .1792294   .5157049     0.35   0.728    -.8315336    1.189992    nafmeast |  -.1823971   .4978839    -0.37   0.714    -1.158232    .7934373        asia |   1.790129   .4661746     3.84   0.000     .8764434    2.703814    _spline1 |   .0052875   .0008787     6.02   0.000     .0035653    .0070098    _spline2 |  -.0050176   .0010231    -4.90   0.000    -.0070227   -.0030124    _spline3 |    .001959   .0005284     3.71   0.000     .0009233    .0029946       _cons |  -3.810875   2.021618    -1.89   0.059    -7.773174     .151424------------------------------------------------------------------------------note: 23 failures and 0 successes completely determined.. *jtgasdem Gastil Freedom House data;. logit maoznewl jtgasdem tradelo sun2cati fdi_gdpl rgdppcln gdplnctg cntigdum lo> gdist majpdyds alliesr thirdpty fourprty cinclo lncaprt namerica samerica europ> e africa nafmeast asia _spline*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -1676.7725Iteration 1:   log pseudolikelihood = -1092.8527Iteration 2:   log pseudolikelihood = -901.78524Iteration 3:   log pseudolikelihood = -847.46627Iteration 4:   log pseudolikelihood = -837.37527Iteration 5:   log pseudolikelihood = -836.67202Iteration 6:   log pseudolikelihood = -836.66613Iteration 7:   log pseudolikelihood = -836.66613Logit estimates                                   Number of obs   =      98073                                                  Wald chi2(23)   =    1315.85                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -836.66613                 Pseudo R2       =     0.5010                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------    jtgasdem |  -.0076167   .0039722    -1.92   0.055    -.0154022    .0001687     tradelo |  -8.601839   32.92271    -0.26   0.794    -73.12916    55.92548    sun2cati |  -1.284887    .308735    -4.16   0.000    -1.889996   -.6797772    fdi_gdpl |  -.9683784   .3804234    -2.55   0.011    -1.713995   -.2227622    rgdppcln |   .4329543   .2100654     2.06   0.039     .0212337    .8446748    gdplnctg |   .0779068   .1076672     0.72   0.469    -.1331171    .2889306    cntigdum |   2.032249   .8726301     2.33   0.020     .3219259    3.742573     logdist |  -.3622465   .1250815    -2.90   0.004    -.6074017   -.1170912    majpdyds |   1.753282   .3874827     4.52   0.000     .9938295    2.512734     alliesr |   .5382547   .2899508     1.86   0.063    -.0300385    1.106548    thirdpty |   .6686824   .2504787     2.67   0.008     .1777531    1.159612    fourprty |   .8326299   .2526541     3.30   0.001      .337437    1.327823      cinclo |  -23.23493   12.75504    -1.82   0.069    -48.23434    1.764486     lncaprt |  -.1559469   .0721077    -2.16   0.031    -.2972754   -.0146185    namerica |   .1242853   .4918125     0.25   0.800    -.8396495     1.08822    samerica |   .3303335   .5506194     0.60   0.549    -.7488606    1.409528      europe |  -1.134399   .8365841    -1.36   0.175    -2.774073     .505276      africa |   .1451798   .5110001     0.28   0.776    -.8563619    1.146721    nafmeast |  -.2198948   .4969812    -0.44   0.658     -1.19396    .7541704        asia |   1.753445   .4674773     3.75   0.000      .837206    2.669683    _spline1 |   .0052989   .0008711     6.08   0.000     .0035917    .0070061    _spline2 |  -.0050218    .001016    -4.94   0.000    -.0070132   -.0030304    _spline3 |   .0019553   .0005259     3.72   0.000     .0009245    .0029861       _cons |  -4.108968   1.955979    -2.10   0.036    -7.942617   -.2753186------------------------------------------------------------------------------note: 20 failures and 0 successes completely determined.. *comment:  other measures for markets;. *Chinn and Ito;. logit maoznewl politylo polityhi tradelo sun2cati kaopenlo rgdppcln gdplnctg co> ntig logdstab majpdyds alliesr thirdpty fourprty cinclo lncaprt namerica sameri> ca europe africa nafmeast asia _spline*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -1446.7201Iteration 1:   log pseudolikelihood = -883.86381Iteration 2:   log pseudolikelihood = -746.69334Iteration 3:   log pseudolikelihood = -706.68517Iteration 4:   log pseudolikelihood = -698.00413Iteration 5:   log pseudolikelihood = -697.18504Iteration 6:   log pseudolikelihood = -697.17281Iteration 7:   log pseudolikelihood = -697.17281Logit estimates                                   Number of obs   =      68045                                                  Wald chi2(24)   =    1214.89                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -697.17281                 Pseudo R2       =     0.5181                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------    politylo |   -.050265   .0336834    -1.49   0.136    -.1162833    .0157533    polityhi |  -.0638674   .0440976    -1.45   0.148     -.150297    .0225623     tradelo |  -4.010023   22.88436    -0.18   0.861    -48.86254    40.84249    sun2cati |  -1.003645   .2607798    -3.85   0.000    -1.514764   -.4925255    kaopenlo |  -.2997445   .0966762    -3.10   0.002    -.4892264   -.1102625    rgdppcln |   .7494842   .1767015     4.24   0.000     .4031556    1.095813    gdplnctg |  -.9710022   .2542723    -3.82   0.000    -1.469367   -.4726376      contig |     9.7242   2.034892     4.78   0.000     5.735886    13.71251    logdstab |  -.5063199   .1513287    -3.35   0.001    -.8029187   -.2097212    majpdyds |   .9092443   .3875325     2.35   0.019     .1496947    1.668794     alliesr |  -.0686209   .3189087    -0.22   0.830    -.6936706    .5564287    thirdpty |   .4734074   .2601188     1.82   0.069    -.0364161    .9832309    fourprty |   .8755048   .2222204     3.94   0.000     .4399609    1.311049      cinclo |   71.97769   20.98692     3.43   0.001     30.84409    113.1113     lncaprt |   .1401051   .0801612     1.75   0.081     -.017008    .2972181    namerica |   .5145703   .5582966     0.92   0.357    -.5796709    1.608812    samerica |   .5816157   .6347516     0.92   0.360    -.6624746    1.825706      europe |  -.4384196    .747614    -0.59   0.558    -1.903716    1.026877      africa |  -.7131218   .5435662    -1.31   0.190    -1.778492    .3522485    nafmeast |  -.4492572   .5163018    -0.87   0.384     -1.46119    .5626757        asia |   1.439498   .4427491     3.25   0.001     .5717256     2.30727    _spline1 |   .0046287   .0009427     4.91   0.000     .0027811    .0064763    _spline2 |  -.0039475   .0010712    -3.69   0.000     -.006047   -.0018481    _spline3 |   .0012725   .0005352     2.38   0.017     .0002236    .0023214       _cons |  -5.947238   1.917647    -3.10   0.002    -9.705757   -2.188719------------------------------------------------------------------------------. *jtkaopen;. logit maoznewl politylo polityhi tradelo sun2cati jtkaopen rgdppcln gdplnctg co> ntig logdstab majpdyds alliesr thirdpty fourprty cinclo lncaprt namerica sameri> ca europe africa nafmeast asia _spline*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -1446.7201Iteration 1:   log pseudolikelihood = -884.22404Iteration 2:   log pseudolikelihood = -746.21999Iteration 3:   log pseudolikelihood = -706.43557Iteration 4:   log pseudolikelihood = -698.01879Iteration 5:   log pseudolikelihood = -697.23362Iteration 6:   log pseudolikelihood = -697.22189Iteration 7:   log pseudolikelihood = -697.22188Logit estimates                                   Number of obs   =      68045                                                  Wald chi2(24)   =    1143.41                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -697.22188                 Pseudo R2       =     0.5181                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------    politylo |  -.0481853   .0329333    -1.46   0.143    -.1127334    .0163629    polityhi |  -.0464603    .042696    -1.09   0.277    -.1301429    .0372223     tradelo |  -5.372586   23.48815    -0.23   0.819    -51.40851    40.66334    sun2cati |  -1.009245   .2509434    -4.02   0.000    -1.501085   -.5174051    jtkaopen |  -.1053785   .0322854    -3.26   0.001    -.1686566   -.0421004    rgdppcln |   .6312345   .1741794     3.62   0.000     .2898492    .9726198    gdplnctg |   -1.00959   .2610308    -3.87   0.000    -1.521201   -.4979794      contig |   10.06265   2.097383     4.80   0.000     5.951856    14.17345    logdstab |  -.5580788   .1676022    -3.33   0.001    -.8865731   -.2295844    majpdyds |   .6831922   .3853147     1.77   0.076    -.0720107    1.438395     alliesr |  -.0032109   .3202478    -0.01   0.992    -.6308851    .6244633    thirdpty |   .4669342   .2652071     1.76   0.078    -.0528621    .9867304    fourprty |   .8250849   .2274593     3.63   0.000     .3792728    1.270897      cinclo |   73.89306   20.35023     3.63   0.000     34.00735    113.7788     lncaprt |   .1220831   .0804802     1.52   0.129    -.0356553    .2798215    namerica |   .3866645    .546645     0.71   0.479    -.6847399    1.458069    samerica |   .5383306   .6411972     0.84   0.401    -.7183927    1.795054      europe |  -.5203205   .7313241    -0.71   0.477    -1.953689    .9130483      africa |  -.8654596   .5698541    -1.52   0.129    -1.982353    .2514338    nafmeast |  -.4864778   .5182291    -0.94   0.348    -1.502188    .5292326        asia |   .9827389    .459294     2.14   0.032     .0825392    1.882939    _spline1 |   .0046727   .0009534     4.90   0.000     .0028042    .0065413    _spline2 |  -.0039807   .0010848    -3.67   0.000    -.0061069   -.0018545    _spline3 |   .0012801   .0005421     2.36   0.018     .0002175    .0023426       _cons |  -4.365582   1.973693    -2.21   0.027    -8.233949   -.4972162------------------------------------------------------------------------------. *econfrel;. logit maoznewl politylo polityhi tradelo sun2cati econfrel rgdppcln gdplnctg co> ntig logdstab majpdyds alliesr thirdpty fourprty cinclo lncaprt namerica sameri> ca europe africa nafmeast asia _spline*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -446.77322Iteration 1:   log pseudolikelihood = -299.81133Iteration 2:   log pseudolikelihood = -246.06902Iteration 3:   log pseudolikelihood = -229.06331Iteration 4:   log pseudolikelihood = -224.59237Iteration 5:   log pseudolikelihood = -223.35571Iteration 6:   log pseudolikelihood = -223.07066Iteration 7:   log pseudolikelihood = -223.05156Iteration 8:   log pseudolikelihood = -223.05146Logit estimates                                   Number of obs   =      17883                                                  Wald chi2(24)   =     863.17                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -223.05146                 Pseudo R2       =     0.5008                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------    politylo |   .0855039   .0524846     1.63   0.103     -.017364    .1883718    polityhi |   .0478275   .0665609     0.72   0.472    -.0826295    .1782846     tradelo |  -3.159115   25.52923    -0.12   0.902    -53.19548    46.87725    sun2cati |  -.9200944    .341787    -2.69   0.007    -1.589985   -.2502041    econfrel |  -.3098669   .1215839    -2.55   0.011    -.5481668   -.0715669    rgdppcln |   .4206596   .3567509     1.18   0.238    -.2785593    1.119879    gdplnctg |  -.4994094   .3761823    -1.33   0.184    -1.236713    .2378943      contig |   5.828082   2.955901     1.97   0.049     .0346232    11.62154    logdstab |  -.4230411   .1827763    -2.31   0.021    -.7812762   -.0648061    majpdyds |   1.242731   .4676488     2.66   0.008     .3261563    2.159306     alliesr |   .6235847   .4089378     1.52   0.127    -.1779186    1.425088    thirdpty |   .2733925   .3786872     0.72   0.470    -.4688208    1.015606    fourprty |   .5415517   .4165587     1.30   0.194    -.2748884    1.357992      cinclo |  -2.572827    5.89787    -0.44   0.663    -14.13244    8.986785     lncaprt |  -.0697352    .129601    -0.54   0.591    -.3237485    .1842782    namerica |    .244834   .6419398     0.38   0.703    -1.013345    1.503013    samerica |   .6920659   .6393731     1.08   0.279    -.5610824    1.945214      europe |  -1.027571    .624803    -1.64   0.100    -2.252162    .1970206      africa |   .1039152   .7605406     0.14   0.891    -1.386717    1.594547    nafmeast |   .9317866   .7409107     1.26   0.209    -.5203718    2.383945        asia |   1.511423   .5924269     2.55   0.011     .3502879    2.672559    _spline1 |   .0067393   .0018342     3.67   0.000     .0031442    .0103343    _spline2 |  -.0083444    .002403    -3.47   0.001    -.0130542   -.0036346    _spline3 |   .0047687   .0014771     3.23   0.001     .0018737    .0076638       _cons |   -3.60312   3.130438    -1.15   0.250    -9.738665    2.532426------------------------------------------------------------------------------. *iecofrel;. logit maoznewl politylo polityhi tradelo sun2cati iecofrel rgdppcln gdplnctg co> ntig logdstab majpdyds alliesr thirdpty fourprty cinclo lncaprt namerica sameri> ca europe africa nafmeast asia _spline*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -2034.9973Iteration 1:   log pseudolikelihood = -1304.8198Iteration 2:   log pseudolikelihood = -1072.8423Iteration 3:   log pseudolikelihood = -1010.5431Iteration 4:   log pseudolikelihood = -999.94348Iteration 5:   log pseudolikelihood = -999.20446Iteration 6:   log pseudolikelihood = -999.19803Iteration 7:   log pseudolikelihood = -999.19802Logit estimates                                   Number of obs   =      81064                                                  Wald chi2(24)   =    1470.79                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -999.19802                 Pseudo R2       =     0.5090                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------    politylo |   -.022439   .0297473    -0.75   0.451    -.0807426    .0358647    polityhi |   -.027959   .0405078    -0.69   0.490    -.1073528    .0514348     tradelo |  -1.779024   8.545973    -0.21   0.835    -18.52882    14.97078    sun2cati |   -1.16987   .2042501    -5.73   0.000    -1.570193   -.7695475    iecofrel |  -.2452054   .0778751    -3.15   0.002    -.3978377    -.092573    rgdppcln |    .704186   .1699275     4.14   0.000     .3711342    1.037238    gdplnctg |  -.5518008   .2418939    -2.28   0.023    -1.025904   -.0776975      contig |   6.609508   1.910922     3.46   0.001     2.864171    10.35485    logdstab |  -.3034158   .1378389    -2.20   0.028    -.5735751   -.0332566    majpdyds |   .5773456   .2786383     2.07   0.038     .0312245    1.123467     alliesr |   .0792636   .2616196     0.30   0.762    -.4335014    .5920286    thirdpty |   .5345232   .2512622     2.13   0.033     .0420584    1.026988    fourprty |     .73927   .2377067     3.11   0.002     .2733734    1.205167      cinclo |  -5.262142   4.952949    -1.06   0.288    -14.96974     4.44546     lncaprt |   .0595902   .0865503     0.69   0.491    -.1100453    .2292256    namerica |   .7113717   .4661436     1.53   0.127    -.2022529    1.624996    samerica |   .4177586   .5319874     0.79   0.432    -.6249175    1.460435      europe |   -.546809   .4346066    -1.26   0.208    -1.398622    .3050042      africa |   .0059808   .5956171     0.01   0.992    -1.161407    1.173369    nafmeast |   .0376356   .4748569     0.08   0.937    -.8930667     .968338        asia |   1.587038   .4022595     3.95   0.000     .7986238    2.375452    _spline1 |   .0050682   .0007498     6.76   0.000     .0035986    .0065378    _spline2 |  -.0046629   .0008662    -5.38   0.000    -.0063607   -.0029651    _spline3 |   .0017418   .0004481     3.89   0.000     .0008636      .00262       _cons |  -5.748264   1.756929    -3.27   0.001    -9.191781   -2.304746------------------------------------------------------------------------------. *icapitlo;. logit maoznewl demlo demhi deplo sun2cati icapitlo rgdppcln gdplnctg contig log> dstab majpdyds alliesr thirdpty fourprty cinclo lncaprt namerica samerica europ> e africa nafmeast asia _spline*, cluster(dyadid);Iteration 0:   log pseudolikelihood =  -2587.249Iteration 1:   log pseudolikelihood = -2218.5583Iteration 2:   log pseudolikelihood = -1469.0438Iteration 3:   log pseudolikelihood = -1359.5529Iteration 4:   log pseudolikelihood = -1340.2799Iteration 5:   log pseudolikelihood = -1339.0949Iteration 6:   log pseudolikelihood = -1339.0875Iteration 7:   log pseudolikelihood = -1339.0875Logit estimates                                   Number of obs   =      80062                                                  Wald chi2(24)   =    1165.38                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -1339.0875                 Pseudo R2       =     0.4824                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |   .0031072   .0124585     0.25   0.803    -.0213111    .0275254       demhi |  -.0021718   .0198382    -0.11   0.913     -.041054    .0367104       deplo |  -25.93259   18.76568    -1.38   0.167    -62.71264    10.84746    sun2cati |   -.800089   .2563915    -3.12   0.002    -1.302607   -.2975709    icapitlo |  -.0137631   .0052026    -2.65   0.008      -.02396   -.0035662    rgdppcln |   .6777804   .2058929     3.29   0.001     .2742378    1.081323    gdplnctg |  -.7546878   .2414874    -3.13   0.002    -1.227994   -.2813813      contig |   7.447814   1.842509     4.04   0.000     3.836563    11.05907    logdstab |  -.6156073   .1404275    -4.38   0.000    -.8908402   -.3403744    majpdyds |   1.377091   .3219527     4.28   0.000     .7460753    2.008107     alliesr |  -.0690148   .3460428    -0.20   0.842    -.7472462    .6092167    thirdpty |   .1838082   .2231329     0.82   0.410    -.2535242    .6211406    fourprty |   .7373608   .2124591     3.47   0.001     .3209485    1.153773      cinclo |   3.244217   8.100468     0.40   0.689    -12.63241    19.12084     lncaprt |  -.1182454   .0922508    -1.28   0.200    -.2990535    .0625628    namerica |   .5764469   .5420669     1.06   0.288    -.4859847    1.638879    samerica |   1.021116   .6234834     1.64   0.101     -.200889    2.243121      europe |  -1.336216   .6233907    -2.14   0.032     -2.55804    -.114393      africa |   .7239108   .5153535     1.40   0.160    -.2861635    1.733985    nafmeast |   .9164006   .4165958     2.20   0.028     .0998877    1.732913        asia |    1.27804   .4130209     3.09   0.002     .4685341    2.087546    _spline1 |    .005288   .0006964     7.59   0.000      .003923    .0066529    _spline2 |   -.005165   .0008105    -6.37   0.000    -.0067535   -.0035765    _spline3 |   .0021274   .0004331     4.91   0.000     .0012785    .0029763       _cons |  -3.971195   1.972317    -2.01   0.044    -7.836864   -.1055255------------------------------------------------------------------------------. *comment:  other measures for Development;. *Mossaeau controls:  replication of Oneal and Russett standard model;. logit maoznewl demlo demhi deplo demgdpln contig logdstab majpdyds alliesr cinc> lo lncaprt thirdpty fourprty namerica samerica europe africa nafmeast asia _spl> ine*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -8794.3151Iteration 1:   log pseudolikelihood = -8054.0343Iteration 2:   log pseudolikelihood = -5456.1865Iteration 3:   log pseudolikelihood = -5005.7027Iteration 4:   log pseudolikelihood = -4920.9679Iteration 5:   log pseudolikelihood = -4914.1251Iteration 6:   log pseudolikelihood = -4914.0193Iteration 7:   log pseudolikelihood = -4914.0192Logit estimates                                   Number of obs   =     278161                                                  Wald chi2(21)   =    1819.57                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -4914.0192                 Pseudo R2       =     0.4412                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.2349056   .0950484    -2.47   0.013    -.4211972   -.0486141       demhi |   .0380283   .0106546     3.57   0.000     .0171457    .0589109       deplo |  -37.40742   16.45992    -2.27   0.023    -69.66828   -5.146563    demgdpln |   .0241261   .0120296     2.01   0.045     .0005485    .0477037      contig |   2.000529   .1956825    10.22   0.000     1.616998    2.384059    logdstab |  -.5822388   .0796167    -7.31   0.000    -.7382846    -.426193    majpdyds |   1.817104   .2404383     7.56   0.000     1.345854    2.288355     alliesr |  -.4147128    .195264    -2.12   0.034    -.7974232   -.0320023      cinclo |   11.29657   5.861481     1.93   0.054    -.1917236    22.78486     lncaprt |  -.1986419   .0509473    -3.90   0.000    -.2984968    -.098787    thirdpty |    .375851   .1254099     3.00   0.003      .130052    .6216499    fourprty |   1.431566   .1328767    10.77   0.000     1.171133       1.692    namerica |  -.0051694   .3248572    -0.02   0.987    -.6418778     .631539    samerica |   .9148828   .4586489     1.99   0.046     .0159475    1.813818      europe |  -.7198708   .2728507    -2.64   0.008    -1.254648   -.1850932      africa |   .6495612   .3018234     2.15   0.031     .0579983    1.241124    nafmeast |   .8701448   .2661764     3.27   0.001     .3484485    1.391841        asia |   1.340869   .2631706     5.10   0.000     .8250637    1.856673    _spline1 |   .0049753   .0004743    10.49   0.000     .0040457    .0059049    _spline2 |  -.0048581   .0005688    -8.54   0.000     -.005973   -.0037433    _spline3 |   .0019837   .0003141     6.31   0.000      .001368    .0025994       _cons |  -1.165909   .6768262    -1.72   0.085    -2.492464    .1606458------------------------------------------------------------------------------. *adding capital;. logit maoznewl demlo demhi deplo capopenl demgdpln contig logdstab majpdyds all> ies cinclo lncaprt thirdpty fourprty namerica samerica europe africa nafmeast a> sia _spline*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -3844.7016Iteration 1:   log pseudolikelihood = -2609.3745Iteration 2:   log pseudolikelihood = -2219.8827Iteration 3:   log pseudolikelihood = -2127.0134Iteration 4:   log pseudolikelihood = -2114.9625Iteration 5:   log pseudolikelihood =  -2114.587Iteration 6:   log pseudolikelihood = -2114.5865Logit estimates                                   Number of obs   =     171509                                                  Wald chi2(22)   =    1838.02                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -2114.5865                 Pseudo R2       =     0.4500                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |   .0795432   .1006156     0.79   0.429    -.1176597    .2767461       demhi |   .0025632   .0119565     0.21   0.830     -.020871    .0259975       deplo |   -16.0662    10.3841    -1.55   0.122    -36.41865    4.286256    capopenl |  -.1644866    .049817    -3.30   0.001    -.2621261   -.0668471    demgdpln |  -.0110272   .0131429    -0.84   0.401    -.0367869    .0147324      contig |   2.718155    .292387     9.30   0.000     2.145087    3.291223    logdstab |  -.4333181   .0910293    -4.76   0.000    -.6117322    -.254904    majpdyds |   1.800097   .3554197     5.06   0.000     1.103487    2.496707     alliesr |   -.250465   .2242981    -1.12   0.264    -.6900813    .1891513      cinclo |   -10.2914   14.89678    -0.69   0.490    -39.48855    18.90575     lncaprt |  -.1074114   .0599868    -1.79   0.073    -.2249833    .0101606    thirdpty |   .4250595   .1767472     2.40   0.016     .0786413    .7714776    fourprty |   1.171868   .1715338     6.83   0.000     .8356678    1.508068    namerica |   .4325154   .4480158     0.97   0.334    -.4455794     1.31061    samerica |   .5596076   .4044769     1.38   0.167    -.2331526    1.352368      europe |  -.7072064   .5091853    -1.39   0.165    -1.705191    .2907785      africa |   .4280287   .3460683     1.24   0.216    -.2502527     1.10631    nafmeast |   .4358846   .3301601     1.32   0.187    -.2112173    1.082986        asia |    .958367   .3712544     2.58   0.010     .2307217    1.686012    _spline1 |   .0043222    .000589     7.34   0.000     .0031677    .0054767    _spline2 |  -.0039297   .0006755    -5.82   0.000    -.0052536   -.0026057    _spline3 |   .0014246   .0003493     4.08   0.000       .00074    .0021092       _cons |  -1.604963   .7912082    -2.03   0.043    -3.155702    -.054223------------------------------------------------------------------------------. *adding GDP/pop.;. logit maoznewl demlo demhi deplo capopenl rgdppclo demgdpln contig logdstab maj> pdyds allies cinclo lncaprt thirdpty fourprty namerica samerica europe africa n> afmeast asia _spline*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -3844.7016Iteration 1:   log pseudolikelihood = -2608.6617Iteration 2:   log pseudolikelihood = -2219.0671Iteration 3:   log pseudolikelihood = -2126.0714Iteration 4:   log pseudolikelihood = -2114.0258Iteration 5:   log pseudolikelihood = -2113.6518Iteration 6:   log pseudolikelihood = -2113.6512Logit estimates                                   Number of obs   =     171509                                                  Wald chi2(23)   =    1814.92                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -2113.6512                 Pseudo R2       =     0.4502                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |   .0500599   .0992908     0.50   0.614    -.1445465    .2446663       demhi |   .0027683   .0118806     0.23   0.816    -.0205173     .026054       deplo |  -21.29377   13.16572    -1.62   0.106     -47.0981    4.510565    capopenl |   -.181295   .0566553    -3.20   0.001    -.2923373   -.0702526    rgdppclo |   .0000411    .000036     1.14   0.253    -.0000294    .0001116    demgdpln |  -.0076382   .0129229    -0.59   0.554    -.0329666    .0176903      contig |   2.717422   .2919332     9.31   0.000     2.145243    3.289601    logdstab |  -.4311373    .091032    -4.74   0.000    -.6095567   -.2527178    majpdyds |   1.774666   .3546668     5.00   0.000     1.079532      2.4698     alliesr |  -.2592286   .2246829    -1.15   0.249     -.699599    .1811418      cinclo |   -12.6546     14.471    -0.87   0.382    -41.01725    15.70804     lncaprt |  -.1085986    .059926    -1.81   0.070    -.2260514    .0088543    thirdpty |   .4086765   .1752121     2.33   0.020     .0652671    .7520859    fourprty |   1.149585    .169725     6.77   0.000     .8169296     1.48224    namerica |   .4699956   .4468731     1.05   0.293    -.4058596    1.345851    samerica |   .5586291   .4059219     1.38   0.169    -.2369633    1.354221      europe |  -.7631364    .497505    -1.53   0.125    -1.738228    .2119556      africa |   .4590445   .3495272     1.31   0.189    -.2260163    1.144105    nafmeast |   .3914993    .333862     1.17   0.241    -.2628582    1.045857        asia |   1.006514   .3705109     2.72   0.007     .2803259    1.732702    _spline1 |   .0043198   .0005895     7.33   0.000     .0031644    .0054752    _spline2 |  -.0039264   .0006761    -5.81   0.000    -.0052515   -.0026012    _spline3 |   .0014234   .0003496     4.07   0.000     .0007381    .0021087       _cons |  -1.669278    .789003    -2.12   0.034    -3.215696   -.1228608------------------------------------------------------------------------------. *adding contiguity x GDP/pop.;. logit maoznewl demlo demhi deplo capopenl rgdppclo gdpcontg demgdpln contig log> dstab majpdyds allies cinclo lncaprt thirdpty fourprty namerica samerica europe>  africa nafmeast asia _spline*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -3844.7016Iteration 1:   log pseudolikelihood = -2592.2148Iteration 2:   log pseudolikelihood = -2199.7908Iteration 3:   log pseudolikelihood = -2103.6946Iteration 4:   log pseudolikelihood = -2090.2867Iteration 5:   log pseudolikelihood = -2089.8171Iteration 6:   log pseudolikelihood = -2089.8162Logit estimates                                   Number of obs   =     171509                                                  Wald chi2(24)   =    1803.55                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -2089.8162                 Pseudo R2       =     0.4564                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |   .0012986   .0907249     0.01   0.989     -.176519    .1791161       demhi |   .0037648   .0121273     0.31   0.756    -.0200042    .0275339       deplo |  -5.092429   8.413671    -0.61   0.545    -21.58292    11.39806    capopenl |  -.1803752   .0548802    -3.29   0.001    -.2879383    -.072812    rgdppclo |    .000203   .0000376     5.39   0.000     .0001292    .0002768    gdpcontg |  -.0002853   .0000482    -5.92   0.000    -.0003798   -.0001908    demgdpln |  -.0007937   .0114765    -0.07   0.945    -.0232873    .0216999      contig |   3.393772   .3003886    11.30   0.000     2.805022    3.982523    logdstab |  -.4046308   .0880613    -4.59   0.000    -.5772278   -.2320339    majpdyds |   1.746094   .3442969     5.07   0.000     1.071284    2.420903     alliesr |  -.2520108   .2207534    -1.14   0.254    -.6846796     .180658      cinclo |  -5.828381   16.79382    -0.35   0.729    -38.74367    27.08691     lncaprt |  -.1043325   .0573827    -1.82   0.069    -.2168004    .0081355    thirdpty |   .3393907   .1698956     2.00   0.046     .0064016    .6723799    fourprty |   1.111377   .1606952     6.92   0.000     .7964197    1.426333    namerica |   .5340843   .4529094     1.18   0.238    -.3536018     1.42177    samerica |   .6566399   .3967804     1.65   0.098    -.1210355    1.434315      europe |  -.7031383   .4487167    -1.57   0.117    -1.582607    .1763301      africa |   .3202012   .3493132     0.92   0.359    -.3644401    1.004842    nafmeast |   .5446743   .3084964     1.77   0.077    -.0599674    1.149316        asia |   .8231162   .3810462     2.16   0.031     .0762794    1.569953    _spline1 |   .0043044   .0005851     7.36   0.000     .0031577    .0054511    _spline2 |  -.0039244   .0006729    -5.83   0.000    -.0052432   -.0026055    _spline3 |   .0014372   .0003488     4.12   0.000     .0007536    .0021208       _cons |  -2.263421   .7813696    -2.90   0.004    -3.794877   -.7319646------------------------------------------------------------------------------. *adding interests;. logit maoznewl demlo demhi deplo capopenl rgdppclo gdpcontg sun2cati demgdpln c> ontig logdstab majpdyds allies cinclo lncaprt thirdpty fourprty _spline*, clust> er(dyadid);Iteration 0:   log pseudolikelihood = -3769.6816Iteration 1:   log pseudolikelihood = -2580.6151Iteration 2:   log pseudolikelihood = -2160.9805Iteration 3:   log pseudolikelihood = -2048.1409Iteration 4:   log pseudolikelihood = -2032.3227Iteration 5:   log pseudolikelihood = -2031.6709Iteration 6:   log pseudolikelihood = -2031.6692Logit estimates                                   Number of obs   =     166140                                                  Wald chi2(19)   =    1800.36                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -2031.6692                 Pseudo R2       =     0.4611                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |   .1122006   .0975333     1.15   0.250    -.0789613    .3033624       demhi |  -.0142933   .0127058    -1.12   0.261    -.0391963    .0106096       deplo |   2.258066   8.050654     0.28   0.779    -13.52093    18.03706    capopenl |   -.159288   .0541497    -2.94   0.003    -.2654195   -.0531566    rgdppclo |   .0001784   .0000386     4.63   0.000     .0001028     .000254    gdpcontg |  -.0003099   .0000542    -5.72   0.000    -.0004162   -.0002037    sun2cati |  -.9251082   .1953163    -4.74   0.000    -1.307921   -.5422952    demgdpln |  -.0142485   .0122257    -1.17   0.244    -.0382105    .0097135      contig |   3.688412   .2757507    13.38   0.000      3.14795    4.228873    logdstab |  -.3984698   .0790167    -5.04   0.000    -.5533396      -.2436    majpdyds |    1.11931   .2760342     4.05   0.000      .578293    1.660327     alliesr |  -.0365294   .2179011    -0.17   0.867    -.4636077    .3905488      cinclo |   17.41417   9.277033     1.88   0.061    -.7684793    35.59682     lncaprt |   -.086264   .0575297    -1.50   0.134      -.19902    .0264921    thirdpty |   .3892677   .1656866     2.35   0.019      .064528    .7140074    fourprty |   1.146392   .1558155     7.36   0.000     .8409993    1.451785    _spline1 |   .0044308    .000578     7.67   0.000      .003298    .0055636    _spline2 |  -.0040415   .0006734    -6.00   0.000    -.0053613   -.0027217    _spline3 |   .0014792   .0003532     4.19   0.000      .000787    .0021714       _cons |   -1.50952   .7077385    -2.13   0.033    -2.896662   -.1223779------------------------------------------------------------------------------. * Measures for similar interests;. logit maoznewl demlo demhi deplo sun2cati capopenl rgdppclo gdpcontg contig log> dstab majpdyds allies lncaprt namerica samerica europe africa nafmeast asia _sp> line*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -3769.6816Iteration 1:   log pseudolikelihood =  -2563.599Iteration 2:   log pseudolikelihood = -2156.4616Iteration 3:   log pseudolikelihood = -2049.9244Iteration 4:   log pseudolikelihood = -2033.5486Iteration 5:   log pseudolikelihood = -2032.8341Iteration 6:   log pseudolikelihood =  -2032.832Logit estimates                                   Number of obs   =     166140                                                  Wald chi2(21)   =    1700.98                                                  Prob > chi2     =     0.0000Log pseudolikelihood =  -2032.832                 Pseudo R2       =     0.4607                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.0011305    .012327    -0.09   0.927    -.0252909    .0230299       demhi |  -.0143591   .0122329    -1.17   0.240    -.0383352     .009617       deplo |  -4.215048   8.403694    -0.50   0.616    -20.68598    12.25589    sun2cati |  -1.171537   .1971046    -5.94   0.000    -1.557855   -.7852191    capopenl |  -.2018497   .0594202    -3.40   0.001    -.3183111   -.0853882    rgdppclo |    .000222   .0000368     6.03   0.000     .0001498    .0002942    gdpcontg |  -.0002894     .00005    -5.79   0.000    -.0003874   -.0001914      contig |   3.428292   .2629782    13.04   0.000     2.912864     3.94372    logdstab |  -.4099244   .0897938    -4.57   0.000    -.5859171   -.2339317    majpdyds |   1.566355   .2995293     5.23   0.000     .9792884    2.153422     alliesr |    .063493   .2428819     0.26   0.794    -.4125468    .5395327     lncaprt |   -.164574   .0579636    -2.84   0.005    -.2781806   -.0509675    namerica |   .7237426   .4728222     1.53   0.126     -.202972    1.650457    samerica |   1.094862   .4215374     2.60   0.009     .2686635     1.92106      europe |  -.4272748   .4623467    -0.92   0.355    -1.333458    .4789081      africa |   .0396097   .3495056     0.11   0.910    -.6454087     .724628    nafmeast |   .8984526   .2968223     3.03   0.002     .3166916    1.480214        asia |   1.277096   .3503503     3.65   0.000     .5904216     1.96377    _spline1 |   .0043949   .0005863     7.50   0.000     .0032457     .005544    _spline2 |  -.0040358   .0006765    -5.97   0.000    -.0053617   -.0027099    _spline3 |   .0014913   .0003507     4.25   0.000     .0008039    .0021787       _cons |  -1.163525   .7959685    -1.46   0.144    -2.723595    .3965442------------------------------------------------------------------------------. *UN residuals;. logit maoznewl demlo demhi deplo residsun capopenl rgdppclo gdpcontg contig log> dstab majpdyds allies lncaprt namerica samerica europe africa nafmeast asia _sp> line*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -3769.6816Iteration 1:   log pseudolikelihood =  -2563.599Iteration 2:   log pseudolikelihood = -2156.4616Iteration 3:   log pseudolikelihood = -2049.9244Iteration 4:   log pseudolikelihood = -2033.5486Iteration 5:   log pseudolikelihood = -2032.8341Iteration 6:   log pseudolikelihood =  -2032.832Logit estimates                                   Number of obs   =     166140                                                  Wald chi2(21)   =    1700.98                                                  Prob > chi2     =     0.0000Log pseudolikelihood =  -2032.832                 Pseudo R2       =     0.4607                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.0085388   .0126002    -0.68   0.498    -.0332347    .0161571       demhi |   .0027595   .0124162     0.22   0.824    -.0215758    .0270949       deplo |  -4.215048   8.403694    -0.50   0.616    -20.68598    12.25589    residsun |  -1.171537   .1971046    -5.94   0.000    -1.557855   -.7852192    capopenl |  -.2018497   .0594202    -3.40   0.001    -.3183111   -.0853882    rgdppclo |    .000222   .0000368     6.03   0.000     .0001498    .0002942    gdpcontg |  -.0002894     .00005    -5.79   0.000    -.0003874   -.0001914      contig |   3.428292   .2629782    13.04   0.000     2.912864     3.94372    logdstab |  -.4099244   .0897938    -4.57   0.000    -.5859171   -.2339317    majpdyds |   1.566355   .2995293     5.23   0.000     .9792884    2.153421     alliesr |    .063493   .2428819     0.26   0.794    -.4125468    .5395327     lncaprt |   -.164574   .0579636    -2.84   0.005    -.2781806   -.0509675    namerica |   .7237426   .4728222     1.53   0.126     -.202972    1.650457    samerica |   1.094862   .4215374     2.60   0.009     .2686635     1.92106      europe |  -.4272748   .4623467    -0.92   0.355    -1.333458    .4789081      africa |   .0396097   .3495056     0.11   0.910    -.6454087     .724628    nafmeast |   .8984526   .2968223     3.03   0.002     .3166916    1.480214        asia |   1.277096   .3503503     3.65   0.000     .5904216     1.96377    _spline1 |   .0043949   .0005863     7.50   0.000     .0032457     .005544    _spline2 |  -.0040358   .0006765    -5.97   0.000    -.0053617   -.0027099    _spline3 |   .0014913   .0003507     4.25   0.000     .0008039    .0021787       _cons |  -2.088868   .7871273    -2.65   0.008     -3.63161   -.5461271------------------------------------------------------------------------------. *IGO ties;. logit maoznewl demlo demhi deplo s_igocount_uw capopenl rgdppclo gdpcontg conti> g logdstab majpdyds allies lncaprt namerica samerica europe africa nafmeast asi> a _spline*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -3844.6312Iteration 1:   log pseudolikelihood = -2609.2362Iteration 2:   log pseudolikelihood = -2217.7026Iteration 3:   log pseudolikelihood = -2122.0275Iteration 4:   log pseudolikelihood = -2109.2096Iteration 5:   log pseudolikelihood = -2108.7946Iteration 6:   log pseudolikelihood = -2108.7939Logit estimates                                   Number of obs   =     171488                                                  Wald chi2(21)   =    1731.33                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -2108.7939                 Pseudo R2       =     0.4515                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.0185859    .012755    -1.46   0.145    -.0435853    .0064135       demhi |   .0142461   .0125422     1.14   0.256    -.0103362    .0388283       deplo |  -2.797538   8.213178    -0.34   0.733    -18.89507    13.29999s_igocount~w |   4.072315   1.160551     3.51   0.000     1.797678    6.346953    capopenl |  -.2058602   .0569056    -3.62   0.000    -.3173932   -.0943272    rgdppclo |   .0002187   .0000393     5.56   0.000     .0001416    .0002958    gdpcontg |  -.0002888    .000049    -5.90   0.000    -.0003848   -.0001928      contig |   3.392973   .3099334    10.95   0.000     2.785514    4.000431    logdstab |  -.3993234   .0898662    -4.44   0.000    -.5754578   -.2231889    majpdyds |   1.965462    .355199     5.53   0.000     1.269285    2.661639     alliesr |  -.3544436   .2289281    -1.55   0.122    -.8031345    .0942473     lncaprt |  -.0311311      .0637    -0.49   0.625    -.1559809    .0937186    namerica |   .5527587   .4739032     1.17   0.243    -.3760744    1.481592    samerica |   .7339294   .3787977     1.94   0.053    -.0085004    1.476359      europe |  -1.046221   .4817884    -2.17   0.030    -1.990509   -.1019336      africa |    .102624   .3483498     0.29   0.768     -.580129    .7853771    nafmeast |   .9127658   .3000679     3.04   0.002     .3246435    1.500888        asia |    .489696   .3688346     1.33   0.184    -.2332066    1.212599    _spline1 |   .0044558   .0006095     7.31   0.000     .0032612    .0056503    _spline2 |  -.0040968   .0006957    -5.89   0.000    -.0054603   -.0027332    _spline3 |   .0015188    .000356     4.27   0.000      .000821    .0022166       _cons |  -5.655623   1.243781    -4.55   0.000    -8.093388   -3.217858------------------------------------------------------------------------------. *learning - Cederman;. logit maoznewl demlo demhi deplo sun2cati capopenl rgdppclo gdpcontg contig log> dstab majpdyds allies lncaprt namerica samerica europe africa nafmeast asia dem> year1 autyear1, cluster(dyadid);Iteration 0:   log pseudolikelihood = -3769.6816Iteration 1:   log pseudolikelihood =  -2655.694Iteration 2:   log pseudolikelihood = -2349.4201Iteration 3:   log pseudolikelihood = -2282.5627Iteration 4:   log pseudolikelihood = -2275.1978Iteration 5:   log pseudolikelihood = -2275.0423Iteration 6:   log pseudolikelihood = -2275.0422Logit estimates                                   Number of obs   =     166140                                                  Wald chi2(20)   =    1419.71                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -2275.0422                 Pseudo R2       =     0.3965                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.0044939   .0149399    -0.30   0.764    -.0337755    .0247878       demhi |   -.009342   .0284476    -0.33   0.743    -.0650983    .0464142       deplo |  -10.49614   9.735082    -1.08   0.281    -29.57655    8.584265    sun2cati |   -1.32603   .2591213    -5.12   0.000    -1.833898   -.8181614    capopenl |  -.1982004   .0651757    -3.04   0.002    -.3259424   -.0704584    rgdppclo |    .000189   .0000364     5.19   0.000     .0001177    .0002604    gdpcontg |  -.0002685   .0000724    -3.71   0.000    -.0004103   -.0001266      contig |   3.818517   .3442577    11.09   0.000     3.143784     4.49325    logdstab |  -.5759986   .1002056    -5.75   0.000     -.772398   -.3795992    majpdyds |   1.159355   .3471977     3.34   0.001       .47886     1.83985     alliesr |  -.1647605   .3475921    -0.47   0.635    -.8460285    .5165075     lncaprt |  -.1335024   .0703362    -1.90   0.058    -.2713587     .004354    namerica |   .5592846   .5747243     0.97   0.330    -.5671543    1.685723    samerica |   .9724589   .5958801     1.63   0.103    -.1954446    2.140362      europe |  -.9073504   .5302942    -1.71   0.087    -1.946708    .1320072      africa |   .1509947   .4677901     0.32   0.747     -.765857    1.067846    nafmeast |   1.372881     .36137     3.80   0.000     .6646084    2.081153        asia |   1.426643   .4162246     3.43   0.001     .6108582    2.242429    demyear1 |   .0095753   .0102076     0.94   0.348    -.0104313    .0295818    autyear1 |   .0096044   .0102331     0.94   0.348    -.0104521    .0296609       _cons |  -20.38636   20.09711    -1.01   0.310    -59.77597    19.00325------------------------------------------------------------------------------. logit maoznewl demlo demhi deplo sun2cati capopenl rgdppclo gdpcontg contig log> dstab majpdyds allies lncaprt namerica samerica europe africa nafmeast asia dem> year2 autyear2, cluster(dyadid);Iteration 0:   log pseudolikelihood = -3769.6816Iteration 1:   log pseudolikelihood = -2655.8146Iteration 2:   log pseudolikelihood = -2349.0655Iteration 3:   log pseudolikelihood = -2282.1544Iteration 4:   log pseudolikelihood = -2274.7795Iteration 5:   log pseudolikelihood = -2274.6236Iteration 6:   log pseudolikelihood = -2274.6235Logit estimates                                   Number of obs   =     166140                                                  Wald chi2(20)   =    1427.33                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -2274.6235                 Pseudo R2       =     0.3966                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |   .0100204   .0257063     0.39   0.697    -.0403631    .0604039       demhi |  -.0136433   .0143099    -0.95   0.340    -.0416902    .0144035       deplo |  -11.05024   9.539257    -1.16   0.247    -29.74685    7.646356    sun2cati |  -1.330942   .2565801    -5.19   0.000     -1.83383    -.828054    capopenl |  -.2001241   .0651279    -3.07   0.002    -.3277725   -.0724758    rgdppclo |   .0001926   .0000362     5.33   0.000     .0001217    .0002635    gdpcontg |  -.0002671   .0000726    -3.68   0.000    -.0004093   -.0001249      contig |   3.816358   .3440728    11.09   0.000     3.141987    4.490728    logdstab |  -.5760457   .0999748    -5.76   0.000    -.7719927   -.3800987    majpdyds |   1.153776   .3460533     3.33   0.001     .4755236    1.832028     alliesr |  -.1567807   .3447586    -0.45   0.649    -.8324951    .5189337     lncaprt |  -.1305862   .0708679    -1.84   0.065    -.2694848    .0083124    namerica |   .5411482   .5664619     0.96   0.339    -.5690968    1.651393    samerica |   .9638874   .5887531     1.64   0.102    -.1900475    2.117822      europe |  -.9056339   .5287066    -1.71   0.087     -1.94188    .1306121      africa |   .1489334   .4662621     0.32   0.749    -.7649234     1.06279    nafmeast |   1.371058   .3602989     3.81   0.000      .664885    2.077231        asia |   1.427146   .4181403     3.41   0.001     .6076055    2.246686    demyear2 |   .0094988   .0101427     0.94   0.349    -.0103804    .0293781    autyear2 |    .009638   .0101246     0.95   0.341    -.0102059    .0294818       _cons |  -20.36533   19.91754    -1.02   0.307    -59.40298    18.67233------------------------------------------------------------------------------. logit maoznewl demlo demhi deplo sun2cati capopenl rgdppclo gdpcontg contig log> dstab majpdyds allies lncaprt namerica samerica europe africa nafmeast asia dem> year1, cluster(dyadid);Iteration 0:   log pseudolikelihood = -3769.6816Iteration 1:   log pseudolikelihood = -2657.2861Iteration 2:   log pseudolikelihood =  -2350.759Iteration 3:   log pseudolikelihood = -2283.7949Iteration 4:   log pseudolikelihood = -2276.3906Iteration 5:   log pseudolikelihood = -2276.2343Iteration 6:   log pseudolikelihood = -2276.2342Logit estimates                                   Number of obs   =     166140                                                  Wald chi2(19)   =    1425.04                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -2276.2342                 Pseudo R2       =     0.3962                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.0027089    .014282    -0.19   0.850    -.0307011    .0252832       demhi |  -.0102495   .0284908    -0.36   0.719    -.0660906    .0455915       deplo |  -11.41305   9.973376    -1.14   0.252     -30.9605    8.134411    sun2cati |  -1.301149   .2501769    -5.20   0.000    -1.791486    -.810811    capopenl |  -.1937158   .0640894    -3.02   0.003    -.3193287   -.0681028    rgdppclo |    .000191   .0000366     5.22   0.000     .0001193    .0002626    gdpcontg |   -.000266    .000071    -3.75   0.000    -.0004052   -.0001269      contig |   3.795984   .3447704    11.01   0.000     3.120246    4.471722    logdstab |  -.5777973   .1003199    -5.76   0.000    -.7744208   -.3811738    majpdyds |   1.185012   .3471717     3.41   0.001     .5045676    1.865456     alliesr |  -.1711526   .3471718    -0.49   0.622    -.8515968    .5092917     lncaprt |  -.1368207    .070101    -1.95   0.051    -.2742161    .0005748    namerica |   .5688753   .5721125     0.99   0.320    -.5524446    1.690195    samerica |   .9726457   .5961333     1.63   0.103    -.1957541    2.141046      europe |   -.939253   .5318774    -1.77   0.077    -1.981713    .1032075      africa |     .17324    .465787     0.37   0.710    -.7396858    1.086166    nafmeast |   1.393924   .3584466     3.89   0.000     .6913815    2.096466        asia |   1.453409   .4170719     3.48   0.000      .635963    2.270855    demyear1 |  -.0000155   .0002285    -0.07   0.946    -.0004635    .0004324       _cons |  -1.395624   .9200982    -1.52   0.129    -3.198984    .4077352------------------------------------------------------------------------------. logit maoznewl demlo demhi deplo sun2cati capopenl rgdppclo gdpcontg contig log> dstab majpdyds allies lncaprt namerica samerica europe africa nafmeast asia dem> year2, cluster(dyadid);Iteration 0:   log pseudolikelihood = -3769.6816Iteration 1:   log pseudolikelihood = -2657.3123Iteration 2:   log pseudolikelihood = -2350.4077Iteration 3:   log pseudolikelihood = -2283.3999Iteration 4:   log pseudolikelihood = -2275.9877Iteration 5:   log pseudolikelihood = -2275.8312Iteration 6:   log pseudolikelihood = -2275.8311Logit estimates                                   Number of obs   =     166140                                                  Wald chi2(19)   =    1433.02                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -2275.8311                 Pseudo R2       =     0.3963                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |   .0111907   .0252516     0.44   0.658    -.0383016     .060683       demhi |   -.012939   .0141949    -0.91   0.362    -.0407605    .0148825       deplo |  -12.10635   9.755534    -1.24   0.215    -31.22684    7.014147    sun2cati |  -1.306396   .2483202    -5.26   0.000    -1.793095   -.8196977    capopenl |  -.1959155   .0641417    -3.05   0.002    -.3216309   -.0702001    rgdppclo |   .0001946   .0000363     5.36   0.000     .0001235    .0002657    gdpcontg |  -.0002644   .0000712    -3.72   0.000    -.0004039   -.0001249      contig |   3.793651   .3445174    11.01   0.000     3.118409    4.468893    logdstab |  -.5777295   .1000849    -5.77   0.000    -.7738922   -.3815668    majpdyds |   1.180263   .3455767     3.42   0.001     .5029451    1.857581     alliesr |  -.1642341   .3442955    -0.48   0.633    -.8390409    .5105727     lncaprt |  -.1338542   .0706536    -1.89   0.058    -.2723326    .0046242    namerica |   .5512106   .5639922     0.98   0.328    -.5541938    1.656615    samerica |   .9658952   .5886177     1.64   0.101    -.1877743    2.119565      europe |  -.9362691   .5305788    -1.76   0.078    -1.976184    .1036462      africa |   .1728242   .4638964     0.37   0.709     -.736396    1.082044    nafmeast |   1.392807   .3570823     3.90   0.000     .6929384    2.092675        asia |    1.45117   .4193571     3.46   0.001     .6292457    2.273095    demyear2 |  -.0001335   .0002152    -0.62   0.535    -.0005553    .0002883       _cons |   -1.30201   .9131093    -1.43   0.154    -3.091671    .4876517------------------------------------------------------------------------------. *comment:  basic analysis plus controls;. *replication of Oneal and Russett standard model;. logit maoznewl demlo demhi deplo contig logdstab majpdyds alliesr cinclo lncapr> t thirdpty fourprty namerica samerica europe africa nafmeast asia _spline*, clu> ster(dyadid);Iteration 0:   log pseudolikelihood = -8830.8566Iteration 1:   log pseudolikelihood = -8084.7148Iteration 2:   log pseudolikelihood = -5484.4056Iteration 3:   log pseudolikelihood = -5042.2217Iteration 4:   log pseudolikelihood = -4959.7738Iteration 5:   log pseudolikelihood = -4953.0405Iteration 6:   log pseudolikelihood = -4952.9403Iteration 7:   log pseudolikelihood = -4952.9402Logit estimates                                   Number of obs   =     282287                                                  Wald chi2(20)   =    1806.67                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -4952.9402                 Pseudo R2       =     0.4391                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.0540884   .0137865    -3.92   0.000    -.0811094   -.0270673       demhi |   .0343002   .0102444     3.35   0.001     .0142216    .0543789       deplo |  -33.58443   14.48474    -2.32   0.020      -61.974   -5.194873      contig |   1.968202   .1968239    10.00   0.000     1.582434     2.35397    logdstab |  -.5813491   .0779117    -7.46   0.000    -.7340531    -.428645    majpdyds |   1.829042   .2380799     7.68   0.000     1.362414     2.29567     alliesr |  -.3700326   .1927953    -1.92   0.055    -.7479044    .0078392      cinclo |   10.48936   6.338942     1.65   0.098    -1.934737    22.91346     lncaprt |  -.2035747   .0506124    -4.02   0.000    -.3027731   -.1043762    thirdpty |   .3551424   .1242611     2.86   0.004     .1115951    .5986897    fourprty |   1.409833   .1304453    10.81   0.000     1.154165    1.665501    namerica |  -.0271942   .3251758    -0.08   0.933    -.6645269    .6101386    samerica |   .8011743   .4572477     1.75   0.080    -.0950148    1.697363      europe |  -.7743248   .2614576    -2.96   0.003    -1.286772   -.2618773      africa |   .6471043   .3029353     2.14   0.033      .053362    1.240847    nafmeast |   .7329981   .2630761     2.79   0.005     .2173784    1.248618        asia |   1.431387    .245819     5.82   0.000     .9495908    1.913184    _spline1 |   .0050069   .0004761    10.52   0.000     .0040738    .0059399    _spline2 |  -.0048721   .0005684    -8.57   0.000    -.0059861   -.0037581    _spline3 |   .0019781   .0003126     6.33   0.000     .0013653    .0025909       _cons |  -1.035981   .6529478    -1.59   0.113    -2.315735     .243773------------------------------------------------------------------------------. *adding capital;. logit maoznewl demlo demhi deplo capopenl contig logdstab majpdyds allies cincl> o lncaprt thirdpty fourprty namerica samerica europe africa nafmeast asia _spli> ne*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -3866.2247Iteration 1:   log pseudolikelihood = -2634.5259Iteration 2:   log pseudolikelihood = -2241.2859Iteration 3:   log pseudolikelihood = -2147.2493Iteration 4:   log pseudolikelihood = -2135.2977Iteration 5:   log pseudolikelihood = -2134.9358Iteration 6:   log pseudolikelihood = -2134.9353Logit estimates                                   Number of obs   =     174548                                                  Wald chi2(21)   =    1804.13                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -2134.9353                 Pseudo R2       =     0.4478                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.0067309   .0138024    -0.49   0.626    -.0337832    .0203214       demhi |   .0040444   .0118746     0.34   0.733    -.0192295    .0273183       deplo |  -18.57131   10.70769    -1.73   0.083    -39.55799    2.415373    capopenl |  -.1661232   .0503194    -3.30   0.001    -.2647474    -.067499      contig |   2.708193   .2884625     9.39   0.000     2.142817    3.273569    logdstab |  -.4416996   .0919102    -4.81   0.000    -.6218403    -.261559    majpdyds |   1.796546   .3534316     5.08   0.000     1.103833    2.489259     alliesr |  -.2866266   .2247322    -1.28   0.202    -.7270937    .1538404      cinclo |  -10.40037   14.92662    -0.70   0.486    -39.65601    18.85526     lncaprt |   -.101553   .0592946    -1.71   0.087    -.2177684    .0146623    thirdpty |   .4413995   .1774035     2.49   0.013      .093695     .789104    fourprty |   1.198815   .1723374     6.96   0.000     .8610401     1.53659    namerica |   .4718853   .4474718     1.05   0.292    -.4051434    1.348914    samerica |    .624473   .4023386     1.55   0.121    -.1640962    1.413042      europe |  -.7159343   .5028233    -1.42   0.154     -1.70145    .2695813      africa |   .3668815   .3460387     1.06   0.289    -.3113419    1.045105    nafmeast |   .4983426   .2961306     1.68   0.092    -.0820626    1.078748        asia |   .9597594   .3702317     2.59   0.010     .2341187      1.6854    _spline1 |   .0043917   .0005936     7.40   0.000     .0032283    .0055551    _spline2 |  -.0040129   .0006799    -5.90   0.000    -.0053454   -.0026804    _spline3 |   .0014657   .0003504     4.18   0.000     .0007789    .0021525       _cons |  -1.604394   .7842325    -2.05   0.041    -3.141462   -.0673269------------------------------------------------------------------------------. *adding GDP/pop.;. logit maoznewl demlo demhi deplo capopenl rgdppclo contig logdstab majpdyds all> ies cinclo lncaprt thirdpty fourprty namerica samerica europe africa nafmeast a> sia _spline*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -3844.7016Iteration 1:   log pseudolikelihood = -2608.7929Iteration 2:   log pseudolikelihood = -2219.3142Iteration 3:   log pseudolikelihood = -2126.4253Iteration 4:   log pseudolikelihood = -2114.3949Iteration 5:   log pseudolikelihood = -2114.0221Iteration 6:   log pseudolikelihood = -2114.0216Logit estimates                                   Number of obs   =     171509                                                  Wald chi2(22)   =    1777.46                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -2114.0216                 Pseudo R2       =     0.4501                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.0099977   .0139548    -0.72   0.474    -.0373485    .0173532       demhi |   .0042656   .0118013     0.36   0.718    -.0188645    .0273956       deplo |  -23.28182   13.54143    -1.72   0.086    -49.82254    3.258908    capopenl |  -.1848837   .0582672    -3.17   0.002    -.2990853   -.0706822    rgdppclo |   .0000483   .0000374     1.29   0.197    -.0000251    .0001217      contig |    2.71866   .2913573     9.33   0.000      2.14761     3.28971    logdstab |  -.4321282   .0915435    -4.72   0.000    -.6115501   -.2527063    majpdyds |   1.763928   .3530925     5.00   0.000     1.071879    2.455976     alliesr |  -.2756721   .2224022    -1.24   0.215    -.7115724    .1602283      cinclo |  -13.01127   14.36406    -0.91   0.365    -41.16431    15.14177     lncaprt |  -.1064894   .0596881    -1.78   0.074    -.2234761    .0104972    thirdpty |   .4123036   .1758629     2.34   0.019     .0676187    .7569886    fourprty |   1.151646   .1696428     6.79   0.000     .8191524     1.48414    namerica |   .4948612   .4484146     1.10   0.270    -.3840152    1.373738    samerica |   .5971064   .4037076     1.48   0.139    -.1941459    1.388359      europe |  -.7673311    .498627    -1.54   0.124    -1.744622    .2099598      africa |   .4474789   .3496176     1.28   0.201     -.237759    1.132717    nafmeast |   .4325811     .30727     1.41   0.159    -.1696571    1.034819        asia |   1.012294   .3677067     2.75   0.006     .2916026    1.732986    _spline1 |   .0043207   .0005899     7.32   0.000     .0031644    .0054769    _spline2 |  -.0039292   .0006766    -5.81   0.000    -.0052553    -.002603    _spline3 |   .0014257   .0003498     4.08   0.000     .0007402    .0021113       _cons |  -1.712773   .7789961    -2.20   0.028    -3.239578   -.1859689------------------------------------------------------------------------------. *adding contiguity x GDP/pop.;. logit maoznewl demlo demhi deplo capopenl rgdppclo gdpcontg contig logdstab maj> pdyds allies cinclo lncaprt thirdpty fourprty namerica samerica europe africa n> afmeast asia _spline*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -3844.7016Iteration 1:   log pseudolikelihood =  -2592.246Iteration 2:   log pseudolikelihood = -2199.8514Iteration 3:   log pseudolikelihood = -2103.7061Iteration 4:   log pseudolikelihood = -2090.2911Iteration 5:   log pseudolikelihood = -2089.8212Iteration 6:   log pseudolikelihood = -2089.8203Logit estimates                                   Number of obs   =     171509                                                  Wald chi2(23)   =    1806.01                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -2089.8203                 Pseudo R2       =     0.4564                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.0049994   .0127284    -0.39   0.694    -.0299466    .0199477       demhi |   .0039408   .0119019     0.33   0.741    -.0193865    .0272681       deplo |  -5.170684    8.35584    -0.62   0.536    -21.54783    11.20646    capopenl |  -.1807641   .0562024    -3.22   0.001    -.2909188   -.0706094    rgdppclo |   .0002039   .0000361     5.65   0.000     .0001331    .0002747    gdpcontg |  -.0002855   .0000476    -5.99   0.000    -.0003789   -.0001921      contig |   3.394135   .2990637    11.35   0.000     2.807981    3.980289    logdstab |  -.4047518   .0882684    -4.59   0.000    -.5777546   -.2317489    majpdyds |   1.745071   .3415538     5.11   0.000     1.075638    2.414504     alliesr |  -.2537592   .2189102    -1.16   0.246    -.6828152    .1752969      cinclo |  -5.861733   16.72502    -0.35   0.726    -38.64218    26.91871     lncaprt |   -.104155   .0573626    -1.82   0.069    -.2165837    .0082737    thirdpty |   .3396775   .1707361     1.99   0.047      .005041    .6743141    fourprty |    1.11158   .1611132     6.90   0.000     .7958038    1.427356    namerica |   .5365978   .4518055     1.19   0.235    -.3489246     1.42212    samerica |   .6603976   .3964449     1.67   0.096    -.1166201    1.437415      europe |  -.7056601   .4554958    -1.55   0.121    -1.598416    .1870953      africa |    .318649   .3495871     0.91   0.362    -.3665291    1.003827    nafmeast |   .5481217    .294312     1.86   0.063    -.0287192    1.124962        asia |   .8233091   .3805288     2.16   0.030     .0774864    1.569132    _spline1 |   .0043046   .0005854     7.35   0.000     .0031573    .0054519    _spline2 |  -.0039249   .0006732    -5.83   0.000    -.0052443   -.0026054    _spline3 |   .0014376   .0003488     4.12   0.000     .0007541    .0021212       _cons |  -2.268043   .7676763    -2.95   0.003    -3.772661   -.7634248------------------------------------------------------------------------------. *adding interests;. logit maoznewl demlo demhi deplo capopenl rgdppclo gdpcontg sun2cati contig log> dstab majpdyds allies cinclo lncaprt thirdpty fourprty _spline*, cluster(dyadid> );Iteration 0:   log pseudolikelihood = -3769.6816Iteration 1:   log pseudolikelihood = -2582.7882Iteration 2:   log pseudolikelihood = -2163.0228Iteration 3:   log pseudolikelihood = -2049.6578Iteration 4:   log pseudolikelihood = -2033.7693Iteration 5:   log pseudolikelihood = -2033.1177Iteration 6:   log pseudolikelihood =  -2033.116Iteration 7:   log pseudolikelihood =  -2033.116Logit estimates                                   Number of obs   =     166140                                                  Wald chi2(18)   =    1798.41                                                  Prob > chi2     =     0.0000Log pseudolikelihood =  -2033.116                 Pseudo R2       =     0.4607                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.0018235   .0118832    -0.15   0.878    -.0251142    .0214672       demhi |   -.010382   .0122867    -0.84   0.398    -.0344634    .0136994       deplo |  -.1489235   8.609303    -0.02   0.986    -17.02285      16.725    capopenl |  -.1673193   .0555867    -3.01   0.003    -.2762673   -.0583713    rgdppclo |    .000195   .0000336     5.80   0.000     .0001291     .000261    gdpcontg |  -.0003072   .0000496    -6.20   0.000    -.0004044   -.0002101    sun2cati |  -.9183642   .1955514    -4.70   0.000    -1.301638   -.5350906      contig |   3.687835    .271739    13.57   0.000     3.155236    4.220433    logdstab |  -.4004205   .0805316    -4.97   0.000    -.5582595   -.2425816    majpdyds |   1.083378   .2766028     3.92   0.000     .5412466     1.62551     alliesr |  -.0713284   .2147637    -0.33   0.740    -.4922576    .3496007      cinclo |   17.05995   9.335976     1.83   0.068    -1.238227    35.35813     lncaprt |  -.0804278   .0571133    -1.41   0.159    -.1923678    .0315122    thirdpty |   .4223852   .1710208     2.47   0.014     .0871906    .7575799    fourprty |   1.190984   .1607307     7.41   0.000     .8759577    1.506011    _spline1 |   .0044401   .0005793     7.66   0.000     .0033047    .0055756    _spline2 |   -.004055   .0006749    -6.01   0.000    -.0053778   -.0027321    _spline3 |   .0014891   .0003538     4.21   0.000     .0007957    .0021826       _cons |  -1.607477   .7085557    -2.27   0.023    -2.996221   -.2187335------------------------------------------------------------------------------. *comment:  replicating table 1, basic analysis using GEE;. *replication of Oneal and Russett standard model;. xtgee maoznewl demlo demhi deplo contig logdstab majpdyds alliesr lncaprt namer> ica samerica europe africa nafmeast asia , family(binomial) link(logit) corr(ar> 1) force robust;note:  some groups have fewer than 2 observations       not possible to estimate correlations for those groups       809 groups omitted from estimationIteration 1: tolerance = .11509405Iteration 2: tolerance = .01224447Iteration 3: tolerance = .00185445Iteration 4: tolerance = .00025718Iteration 5: tolerance = .0000353Iteration 6: tolerance = 4.834e-06Iteration 7: tolerance = 6.616e-07GEE population-averaged model                   Number of obs      =    281478Group and time vars:           dyadid year      Number of groups   =     11090Link:                                logit      Obs per group: min =         2Family:                           binomial                     avg =      25.4Correlation:                         AR(1)                     max =        43                                                Wald chi2(14)      =   1303.82Scale parameter:                         1      Prob > chi2        =    0.0000                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |             Semi-robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.0531397   .0130541    -4.07   0.000    -.0787252   -.0275542       demhi |   .0334882   .0096856     3.46   0.001     .0145048    .0524716       deplo |  -66.05208   24.18166    -2.73   0.006    -113.4473   -18.65689      contig |   2.344697   .2153391    10.89   0.000      1.92264    2.766754    logdstab |  -.7342134   .0870592    -8.43   0.000    -.9048463   -.5635805    majpdyds |   2.572773   .2554316    10.07   0.000     2.072136     3.07341     alliesr |  -.7243313   .2188055    -3.31   0.001    -1.153182   -.2954804     lncaprt |  -.2866697   .0585932    -4.89   0.000    -.4015103    -.171829    namerica |   .2147538   .3559832     0.60   0.546    -.4829604    .9124679    samerica |   1.369177   .5239232     2.61   0.009     .3423065    2.396048      europe |  -.9911568   .3081657    -3.22   0.001     -1.59515   -.3871632      africa |   .5755495   .3594858     1.60   0.109    -.1290298    1.280129    nafmeast |   1.662519   .2813093     5.91   0.000     1.111163    2.213875        asia |   1.454496   .2477096     5.87   0.000     .9689942    1.939998       _cons |  -.7172628    .746134    -0.96   0.336    -2.179659     .745133------------------------------------------------------------------------------. *adding capital;. xtgee maoznewl demlo demhi deplo capopenl contig logdstab majpdyds allies lncap> rt namerica samerica europe africa nafmeast asia , family(binomial) link(logit)>  corr(ar1) force robust;note:  some groups have fewer than 2 observations       not possible to estimate correlations for those groups       2138 groups omitted from estimationIteration 1: tolerance = .15002239Iteration 2: tolerance = .00150086Iteration 3: tolerance = .00004734Iteration 4: tolerance = 2.950e-06Iteration 5: tolerance = 1.414e-07GEE population-averaged model                   Number of obs      =    172410Group and time vars:           dyadid year      Number of groups   =      8469Link:                                logit      Obs per group: min =         2Family:                           binomial                     avg =      20.4Correlation:                         AR(1)                     max =        27                                                Wald chi2(15)      =   1403.93Scale parameter:                         1      Prob > chi2        =    0.0000                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |             Semi-robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.0027017   .0138724    -0.19   0.846    -.0298911    .0244878       demhi |   .0088228   .0128893     0.68   0.494    -.0164396    .0340853       deplo |  -20.00969   10.52508    -1.90   0.057    -40.63847    .6190885    capopenl |  -.1780722   .0481685    -3.70   0.000    -.2724808   -.0836636      contig |   3.107421   .3244058     9.58   0.000     2.471597    3.743244    logdstab |  -.6585214   .1007899    -6.53   0.000     -.856066   -.4609767    majpdyds |    1.74173    .367246     4.74   0.000     1.021941    2.461519     alliesr |  -.6138198   .3042454    -2.02   0.044     -1.21013   -.0175098     lncaprt |  -.1039078   .0647652    -1.60   0.109    -.2308452    .0230296    namerica |   .7049744   .5225035     1.35   0.177    -.3191136    1.729062    samerica |   .9353092   .5780604     1.62   0.106    -.1976684    2.068287      europe |  -1.377904   .5414346    -2.54   0.011    -2.439096   -.3167115      africa |   .3827333    .461738     0.83   0.407    -.5222565    1.287723    nafmeast |   1.546141   .3596917     4.30   0.000     .8411583    2.251124        asia |   .9441567   .3824355     2.47   0.014     .1945968    1.693717       _cons |  -1.339387   .8809848    -1.52   0.128    -3.066086    .3873113------------------------------------------------------------------------------. *adding GDP/pop.;. xtgee maoznewl demlo demhi deplo capopenl rgdppclo contig logdstab majpdyds all> ies lncaprt namerica samerica europe africa nafmeast asia , family(binomial) li> nk(logit) corr(ar1) force robust;note:  some groups have fewer than 2 observations       not possible to estimate correlations for those groups       2107 groups omitted from estimationIteration 1: tolerance = .17147465Iteration 2: tolerance = .00244376Iteration 3: tolerance = .00008017Iteration 4: tolerance = 4.602e-06Iteration 5: tolerance = 2.353e-07GEE population-averaged model                   Number of obs      =    169402Group and time vars:           dyadid year      Number of groups   =      8257Link:                                logit      Obs per group: min =         2Family:                           binomial                     avg =      20.5Correlation:                         AR(1)                     max =        27                                                Wald chi2(16)      =   1467.60Scale parameter:                         1      Prob > chi2        =    0.0000                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |             Semi-robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.0058847   .0144974    -0.41   0.685    -.0342991    .0225296       demhi |   .0094589   .0128064     0.74   0.460    -.0156413     .034559       deplo |  -23.13875   11.25964    -2.06   0.040    -45.20724   -1.070268    capopenl |  -.1912678   .0561226    -3.41   0.001    -.3012661   -.0812696    rgdppclo |     .00004   .0000419     0.96   0.339    -.0000421    .0001221      contig |   3.121201   .3307635     9.44   0.000     2.472917    3.769486    logdstab |  -.6452874   .1008472    -6.40   0.000    -.8429444   -.4476305    majpdyds |   1.706761   .3606025     4.73   0.000     .9999927    2.413528     alliesr |  -.5940532   .3000208    -1.98   0.048    -1.182083   -.0060232     lncaprt |   -.105267   .0652924    -1.61   0.107    -.2332378    .0227039    namerica |   .7337257   .5190835     1.41   0.158    -.2836592    1.751111    samerica |   .9046851   .5779813     1.57   0.118    -.2281374    2.037508      europe |  -1.474296   .5524759    -2.67   0.008    -2.557129   -.3914635      africa |   .4998648   .4669791     1.07   0.284    -.4153975    1.415127    nafmeast |   1.491451   .3652763     4.08   0.000     .7755228     2.20738        asia |   .9994481   .3865182     2.59   0.010     .2418864     1.75701       _cons |  -1.512823   .8746181    -1.73   0.084    -3.227043    .2013966------------------------------------------------------------------------------. *adding contiguity x GDP/pop.;. xtgee maoznewl demlo demhi deplo capopenl rgdppclo gdpcontg contig logdstab maj> pdyds allies lncaprt namerica samerica europe africa nafmeast asia , family(bin> omial) link(logit) corr(ar1) force robust;note:  some groups have fewer than 2 observations       not possible to estimate correlations for those groups       2107 groups omitted from estimationIteration 1: tolerance = .21609542Iteration 2: tolerance = .00204099Iteration 3: tolerance = .00002865Iteration 4: tolerance = 1.763e-06Iteration 5: tolerance = 7.304e-08GEE population-averaged model                   Number of obs      =    169402Group and time vars:           dyadid year      Number of groups   =      8257Link:                                logit      Obs per group: min =         2Family:                           binomial                     avg =      20.5Correlation:                         AR(1)                     max =        27                                                Wald chi2(17)      =   1440.33Scale parameter:                         1      Prob > chi2        =    0.0000                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |             Semi-robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.0047224   .0136953    -0.34   0.730    -.0315646    .0221199       demhi |   .0089449   .0131606     0.68   0.497    -.0168494    .0347393       deplo |  -11.79634    8.65788    -1.36   0.173    -28.76548    5.172789    capopenl |   -.188378   .0557462    -3.38   0.001    -.2976386   -.0791173    rgdppclo |    .000189    .000035     5.40   0.000     .0001205    .0002576    gdpcontg |  -.0002737   .0000663    -4.13   0.000    -.0004036   -.0001437      contig |   3.797031   .3676921    10.33   0.000     3.076368    4.517694    logdstab |  -.6259491   .1000768    -6.25   0.000    -.8220961   -.4298022    majpdyds |   1.712921   .3554131     4.82   0.000     1.016324    2.409518     alliesr |  -.5942452   .3026215    -1.96   0.050    -1.187372   -.0011181     lncaprt |  -.1006385   .0645919    -1.56   0.119    -.2272364    .0259593    namerica |   .7149799   .5340902     1.34   0.181    -.3318178    1.761778    samerica |   .9215588   .5711735     1.61   0.107    -.1979207    2.041038      europe |  -1.269787   .5528345    -2.30   0.022    -2.353322   -.1862511      africa |   .3662766   .4773494     0.77   0.443     -.569311    1.301864    nafmeast |   1.566265   .3635126     4.31   0.000     .8537931    2.278736        asia |   .8551532    .397582     2.15   0.031     .0759069      1.6344       _cons |  -2.030289   .8857068    -2.29   0.022    -3.766242   -.2943352------------------------------------------------------------------------------. *adding interests;. xtgee maoznewl demlo demhi deplo capopenl rgdppclo gdpcontg sun2cati contig log> dstab majpdyds allies lncaprt, family(binomial) link(logit) corr(ar1) force rob> ust;note:  some groups have fewer than 2 observations       not possible to estimate correlations for those groups       1828 groups omitted from estimationIteration 1: tolerance = .09913455Iteration 2: tolerance = .00197732Iteration 3: tolerance = .00006551Iteration 4: tolerance = 3.318e-06Iteration 5: tolerance = 1.242e-07GEE population-averaged model                   Number of obs      =    164312Group and time vars:           dyadid year      Number of groups   =      8048Link:                                logit      Obs per group: min =         2Family:                           binomial                     avg =      20.4Correlation:                         AR(1)                     max =        27                                                Wald chi2(12)      =   1259.64Scale parameter:                         1      Prob > chi2        =    0.0000                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |             Semi-robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.0220181    .014306    -1.54   0.124    -.0500574    .0060211       demhi |  -.0092536   .0144094    -0.64   0.521    -.0374955    .0189882       deplo |  -21.23819   16.54768    -1.28   0.199    -53.67103    11.19466    capopenl |  -.2398542   .0615213    -3.90   0.000    -.3604337   -.1192747    rgdppclo |   .0002133   .0000356     6.00   0.000     .0001436    .0002829    gdpcontg |  -.0002637   .0000643    -4.10   0.000    -.0003898   -.0001377    sun2cati |  -1.085376   .2240551    -4.84   0.000    -1.524516   -.6462363      contig |   4.219072   .3351654    12.59   0.000      3.56216    4.875984    logdstab |  -.5887675   .0875709    -6.72   0.000    -.7604033   -.4171317    majpdyds |   .9077905   .3131602     2.90   0.004     .2940078    1.521573     alliesr |  -.3135722   .2872167    -1.09   0.275    -.8765066    .2493622     lncaprt |  -.0922419   .0676768    -1.36   0.173     -.224886    .0404021       _cons |  -1.361445   .8033533    -1.69   0.090    -2.935988    .2130988------------------------------------------------------------------------------. *comment:  different measures of democracy using GEE;. *demdummy;. xtgee maoznewl demdumy2 deplo sun2cati capopenl rgdppcln gdplnctg contig logdst> ab majpdyds alliesr thirdpty fourprty cinclo lncaprt namerica samerica europe a> frica nafmeast asia, family(binomial) link(logit) corr(ar1) force robust;note:  some groups have fewer than 2 observations       not possible to estimate correlations for those groups       1998 groups omitted from estimationIteration 1: tolerance = .23550636Iteration 2: tolerance = .01221186Iteration 3: tolerance = .00208733Iteration 4: tolerance = .00018762Iteration 5: tolerance = .00001263Iteration 6: tolerance = 7.849e-07GEE population-averaged model                   Number of obs      =    193191Group and time vars:           dyadid year      Number of groups   =      9829Link:                                logit      Obs per group: min =         2Family:                           binomial                     avg =      19.7Correlation:                         AR(1)                     max =        27                                                Wald chi2(20)      =   1443.54Scale parameter:                         1      Prob > chi2        =    0.0000                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |             Semi-robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------    demdumy2 |   -.212776   .2711425    -0.78   0.433    -.7442056    .3186537       deplo |  -6.308362   9.019102    -0.70   0.484    -23.98548    11.36875    sun2cati |  -1.161566   .2206243    -5.26   0.000    -1.593982   -.7291508    capopenl |  -.1735443   .0507673    -3.42   0.001    -.2730465   -.0740422    rgdppcln |   .8325228   .1551291     5.37   0.000     .5284754     1.13657    gdplnctg |  -1.186328   .2008717    -5.91   0.000    -1.580029   -.7926268      contig |   12.04312   1.543094     7.80   0.000     9.018707    15.06752    logdstab |  -.5794047   .0969247    -5.98   0.000    -.7693736   -.3894358    majpdyds |    1.04197   .3386914     3.08   0.002     .3781473    1.705793     alliesr |  -.1079923   .2887364    -0.37   0.708    -.6739051    .4579206    thirdpty |  -.0815218   .1506379    -0.54   0.588    -.3767667    .2137231    fourprty |   .4768435   .1382317     3.45   0.001     .2059143    .7477728      cinclo |    16.1392    8.46233     1.91   0.056    -.4466606    32.72506     lncaprt |  -.0929423   .0660345    -1.41   0.159    -.2223675    .0364829    namerica |   .3811916   .5079964     0.75   0.453     -.614463    1.376846    samerica |   .9875117   .5189594     1.90   0.057    -.0296301    2.004653      europe |  -.9025883   .4917957    -1.84   0.066     -1.86649    .0613134      africa |   .0272351   .4679298     0.06   0.954    -.8898905    .9443608    nafmeast |    1.26433    .371055     3.41   0.001     .5370756    1.991585        asia |   1.244149    .424381     2.93   0.003     .4123775    2.075921       _cons |  -7.523991   1.416252    -5.31   0.000    -10.29979   -4.748187------------------------------------------------------------------------------. *idlo idhi Vanhanen data;. xtgee maoznewl idlo idhi tradelo sun2cati iecofrel rgdppcln gdplnctg contig log> dstab majpdyds alliesr thirdpty fourprty cinclo lncaprt namerica samerica europ> e africa nafmeast asia, family(binomial) link(logit) corr(ar1) force robust;note:  some groups have fewer than 2 observations       not possible to estimate correlations for those groups       209 groups omitted from estimationIteration 1: tolerance = .3782461Iteration 2: tolerance = .05304907Iteration 3: tolerance = .00083267Iteration 4: tolerance = .00016888Iteration 5: tolerance = 4.842e-06Iteration 6: tolerance = 5.351e-07GEE population-averaged model                   Number of obs      =     88940Group and time vars:           dyadid year      Number of groups   =      5825Link:                                logit      Obs per group: min =         2Family:                           binomial                     avg =      15.3Correlation:                         AR(1)                     max =        23                                                Wald chi2(21)      =    909.68Scale parameter:                         1      Prob > chi2        =    0.0000                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |             Semi-robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------        idlo |   .0053123   .0134884     0.39   0.694    -.0211244     .031749        idhi |  -.0072545   .0117088    -0.62   0.536    -.0302034    .0156944     tradelo |  -.8315899   9.027565    -0.09   0.927    -18.52529    16.86211    sun2cati |  -1.313104   .3135515    -4.19   0.000    -1.927654   -.6985547    iecofrel |  -.5108851   .1039089    -4.92   0.000    -.7145428   -.3072274    rgdppcln |   .9244176   .1870571     4.94   0.000     .5577924    1.291043    gdplnctg |  -.6329192   .2673427    -2.37   0.018    -1.156901   -.1089372      contig |   7.798084   2.163989     3.60   0.000     3.556742    12.03942    logdstab |  -.5491459   .1451884    -3.78   0.000      -.83371   -.2645818    majpdyds |   .7723756   .3816253     2.02   0.043     .0244038    1.520347     alliesr |  -.0093335    .419608    -0.02   0.982    -.8317501    .8130831    thirdpty |   .3715882   .2248209     1.65   0.098    -.0690526     .812229    fourprty |   .6693899   .2207751     3.03   0.002     .2366787    1.102101      cinclo |   .2485237    5.92655     0.04   0.967     -11.3673    11.86435     lncaprt |  -.0675639   .1076587    -0.63   0.530    -.2785712    .1434433    namerica |   .5166878   .6593492     0.78   0.433    -.7756128    1.808988    samerica |   .5766833   .7155591     0.81   0.420    -.8257867    1.979153      europe |  -.8664031   .5013753    -1.73   0.084    -1.849081    .1162745      africa |   .2633844   .7458481     0.35   0.724    -1.198451     1.72522    nafmeast |   .7885288   .5191098     1.52   0.129    -.2289078    1.805965        asia |    2.02062   .5499269     3.67   0.000     .9427831    3.098457       _cons |  -6.743315   1.986024    -3.40   0.001    -10.63585    -2.85078------------------------------------------------------------------------------. *jntid Vanhanen data and KAOPEN data;. xtgee maoznewl jntid tradelo sun2cati kaopenlo rgdppcln gdplnctg contig logdsta> b majpdyds alliesr thirdpty fourprty cinclo lncaprt namerica samerica europe af> rica nafmeast asia, family(binomial) link(logit) corr(ar1) force robust;note:  some groups have fewer than 2 observations       not possible to estimate correlations for those groups       1 groups omitted from estimationIteration 1: tolerance = .16432697Iteration 2: tolerance = .02171996Iteration 3: tolerance = .00111357Iteration 4: tolerance = .00011473Iteration 5: tolerance = 3.156e-06Iteration 6: tolerance = 3.418e-07GEE population-averaged model                   Number of obs      =     76555Group and time vars:           dyadid year      Number of groups   =      5145Link:                                logit      Obs per group: min =         2Family:                           binomial                     avg =      14.9Correlation:                         AR(1)                     max =        16                                                Wald chi2(20)      =    727.35Scale parameter:                         1      Prob > chi2        =    0.0000                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |             Semi-robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       jntid |  -.0004068   .0005235    -0.78   0.437    -.0014328    .0006192     tradelo |    -7.8617   13.43092    -0.59   0.558    -34.18583    18.46243    sun2cati |  -.9672812   .3920721    -2.47   0.014    -1.735728   -.1988339    kaopenlo |  -.2930144     .13703    -2.14   0.032    -.5615882   -.0244405    rgdppcln |   .8110107   .2111142     3.84   0.000     .3972344    1.224787    gdplnctg |  -1.144307   .2868276    -3.99   0.000    -1.706478   -.5821351      contig |   11.54349    2.30802     5.00   0.000     7.019858    16.06713    logdstab |  -.8064274   .1756182    -4.59   0.000    -1.150633    -.462222    majpdyds |   .9923443   .4886363     2.03   0.042     .0346347    1.950054     alliesr |   .0318679   .4381906     0.07   0.942    -.8269699    .8907056    thirdpty |   .3077124   .2476552     1.24   0.214    -.1776829    .7931077    fourprty |   .7834004   .2399658     3.26   0.001     .3130761    1.253725      cinclo |    66.4473   18.06177     3.68   0.000     31.04688    101.8477     lncaprt |   .0408715   .1061572     0.39   0.700    -.1671929    .2489358    namerica |   .0527815   .6650723     0.08   0.937    -1.250736    1.356299    samerica |   .6588049   .7749643     0.85   0.395    -.8600973    2.177707      europe |  -1.351528   .9826992    -1.38   0.169    -3.277583    .5745274      africa |  -.5741016    .800162    -0.72   0.473     -2.14239    .9941871    nafmeast |   .5529882   .6086947     0.91   0.364    -.6400314    1.746008        asia |   1.747966   .6227798     2.81   0.005     .5273398    2.968592       _cons |  -7.027874   2.419807    -2.90   0.004    -11.77061    -2.28514------------------------------------------------------------------------------. *gasdemlo gasdemhi Gastil Freedom House data;. xtgee maoznewl gasdemlo gasdemhi tradelo sun2cati fdi_gdpl rgdppcln gdplnctg cn> tigdum logdist majpdyds alliesr thirdpty fourprty cinclo lncaprt namerica samer> ica europe africa nafmeast asia, family(binomial) link(logit) corr(ar1) force r> obust;note:  some groups have fewer than 2 observations       not possible to estimate correlations for those groups       457 groups omitted from estimationIteration 1: tolerance = 1.058473Iteration 2: tolerance = .08543657Iteration 3: tolerance = .0288831Iteration 4: tolerance = .00510594Iteration 5: tolerance = .00155217Iteration 6: tolerance = .00057849Iteration 7: tolerance = .00008114Iteration 8: tolerance = .00003878Iteration 9: tolerance = 8.342e-06Iteration 10: tolerance = 2.542e-06Iteration 11: tolerance = 7.592e-07GEE population-averaged model                   Number of obs      =     97616Group and time vars:           dyadid year      Number of groups   =      7357Link:                                logit      Obs per group: min =         2Family:                           binomial                     avg =      13.3Correlation:                         AR(1)                     max =        18                                                Wald chi2(21)      =    899.86Scale parameter:                         1      Prob > chi2        =    0.0000                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |             Semi-robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------    gasdemlo |  -.0409703   .0459193    -0.89   0.372    -.1309704    .0490298    gasdemhi |    .037767   .0555531     0.68   0.497    -.0711151    .1466491     tradelo |  -27.78874   24.81818    -1.12   0.263    -76.43147    20.85399    sun2cati |  -1.233301   .3782062    -3.26   0.001    -1.974571   -.4920304    fdi_gdpl |  -1.017832   .4352679    -2.34   0.019    -1.870942   -.1647226    rgdppcln |   .3710453   .2327791     1.59   0.111    -.0851934     .827284    gdplnctg |   .0627457   .1343459     0.47   0.640    -.2005674    .3260588    cntigdum |   2.846441   1.037741     2.74   0.006     .8125055    4.880376     logdist |  -.5606839   .1380714    -4.06   0.000    -.8312989    -.290069    majpdyds |   1.729804   .4676628     3.70   0.000     .8132016    2.646406     alliesr |    .500085   .4602003     1.09   0.277    -.4018911    1.402061    thirdpty |   .1836964   .2465409     0.75   0.456    -.2995148    .6669077    fourprty |   .4734375   .2243518     2.11   0.035     .0337161    .9131589      cinclo |  -.2986129   10.07415    -0.03   0.976    -20.04358    19.44636     lncaprt |   -.178881   .1024215    -1.75   0.081    -.3796235    .0218615    namerica |   .1314181   .7273876     0.18   0.857    -1.294235    1.557072    samerica |    .527003    .786016     0.67   0.503     -1.01356    2.067566      europe |  -2.048609   .8672062    -2.36   0.018    -3.748302   -.3489163      africa |  -.1181373   .7150057    -0.17   0.869    -1.519523    1.283248    nafmeast |   .4770844   .6126248     0.78   0.436    -.7236382    1.677807        asia |   1.640604   .6415782     2.56   0.011     .3831342    2.898074       _cons |  -4.496691   2.125694    -2.12   0.034    -8.662975   -.3304067------------------------------------------------------------------------------. *jtgasdem Gastil Freedom House data;. xtgee maoznewl jtgasdem tradelo sun2cati fdi_gdpl rgdppcln gdplnctg cntigdum lo> gdist majpdyds alliesr thirdpty fourprty cinclo lncaprt namerica samerica europ> e africa nafmeast asia, family(binomial) link(logit) corr(ar1) force robust;note:  some groups have fewer than 2 observations       not possible to estimate correlations for those groups       457 groups omitted from estimationIteration 1: tolerance = .91686386Iteration 2: tolerance = .04808706Iteration 3: tolerance = .01756161Iteration 4: tolerance = .00324927Iteration 5: tolerance = .00178596Iteration 6: tolerance = .00024864Iteration 7: tolerance = .00004936Iteration 8: tolerance = .00001699Iteration 9: tolerance = 3.880e-06Iteration 10: tolerance = 1.250e-06Iteration 11: tolerance = 2.999e-07GEE population-averaged model                   Number of obs      =     97616Group and time vars:           dyadid year      Number of groups   =      7357Link:                                logit      Obs per group: min =         2Family:                           binomial                     avg =      13.3Correlation:                         AR(1)                     max =        18                                                Wald chi2(20)      =    875.56Scale parameter:                         1      Prob > chi2        =    0.0000                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |             Semi-robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------    jtgasdem |  -.0038093   .0043327    -0.88   0.379    -.0123012    .0046827     tradelo |  -29.10849    25.0059    -1.16   0.244    -78.11916    19.90218    sun2cati |  -1.320188   .3738202    -3.53   0.000    -2.052862   -.5875139    fdi_gdpl |  -.9981127   .4296226    -2.32   0.020    -1.840158   -.1560678    rgdppcln |   .4091137   .2354494     1.74   0.082    -.0523587    .8705862    gdplnctg |   .0684426   .1332466     0.51   0.607    -.1927159    .3296012    cntigdum |   2.774332   1.026316     2.70   0.007     .7627907    4.785874     logdist |  -.5705439   .1393021    -4.10   0.000     -.843571   -.2975167    majpdyds |   1.735441   .4855866     3.57   0.000     .7837083    2.687173     alliesr |   .4750784   .4437617     1.07   0.284    -.3946786    1.344835    thirdpty |   .1814678   .2454565     0.74   0.460     -.299618    .6625537    fourprty |   .4675164    .218764     2.14   0.033     .0387469    .8962859      cinclo |   1.665681   9.642527     0.17   0.863    -17.23333    20.56469     lncaprt |  -.1802363   .1026767    -1.76   0.079    -.3814788    .0210063    namerica |   .1530386   .7343494     0.21   0.835     -1.28626    1.592337    samerica |   .5232321   .7879231     0.66   0.507    -1.021069    2.067533      europe |  -1.995409   .8613165    -2.32   0.021    -3.683558   -.3072599      africa |  -.2528447   .7044273    -0.36   0.720    -1.633497    1.127807    nafmeast |   .3307727   .6118255     0.54   0.589    -.8683833    1.529929        asia |   1.568187   .6429628     2.44   0.015      .308003    2.828371       _cons |  -4.292503   2.110148    -2.03   0.042    -8.428316     -.15669------------------------------------------------------------------------------. *comment:  replicating table 2, different IMF measures using GEE;. *capopenl;. xtgee maoznewl politylo polityhi tradelo sun2cati capopenl rgdppclo gdpcontg co> ntig distance majpdyds alliesr thirdpty fourprty cinclo lncaprt namerica sameri> ca europe africa nafmeast asia, family(binomial) link(logit) corr(ar1) force ro> bust;note:  some groups have fewer than 2 observations       not possible to estimate correlations for those groups       1227 groups omitted from estimationIteration 1: tolerance = .21929507Iteration 2: tolerance = .09904413Iteration 3: tolerance = .01091447Iteration 4: tolerance = .00126856Iteration 5: tolerance = .00013827Iteration 6: tolerance = .00001534Iteration 7: tolerance = 1.678e-06Iteration 8: tolerance = 1.844e-07GEE population-averaged model                   Number of obs      =    177864Group and time vars:           dyadid year      Number of groups   =      8769Link:                                logit      Obs per group: min =         2Family:                           binomial                     avg =      20.3Correlation:                         AR(1)                     max =        27                                                Wald chi2(21)      =   1375.58Scale parameter:                         1      Prob > chi2        =    0.0000                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |             Semi-robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------    politylo |  -.0131238   .0271449    -0.48   0.629    -.0663269    .0400793    polityhi |  -.0054956    .023937    -0.23   0.818    -.0524112    .0414201     tradelo |  -1.766376   8.043063    -0.22   0.826    -17.53049    13.99774    sun2cati |  -1.293409    .188192    -6.87   0.000    -1.662259   -.9245598    capopenl |  -.1430741    .048045    -2.98   0.003    -.2372407   -.0489076    rgdppclo |   .0001493   .0000292     5.11   0.000     .0000921    .0002066    gdpcontg |  -.0002704   .0000573    -4.72   0.000    -.0003827    -.000158      contig |   3.622098   .2538654    14.27   0.000     3.124531    4.119665    distance |  -.0002483   .0000551    -4.50   0.000    -.0003563   -.0001402    majpdyds |   1.094367   .3308859     3.31   0.001     .4458422    1.742891     alliesr |  -.2187011   .2623498    -0.83   0.404    -.7328974    .2954951    thirdpty |   .0261717   .1430065     0.18   0.855    -.2541159    .3064593    fourprty |   .4484306   .1377657     3.26   0.001     .1784148    .7184464      cinclo |    16.5126   10.02432     1.65   0.100    -3.134699    36.15991     lncaprt |  -.1443388   .0653579    -2.21   0.027    -.2724379   -.0162398    namerica |   .3182385   .5510942     0.58   0.564    -.7618862    1.398363    samerica |   .5984676   .5342019     1.12   0.263     -.448549    1.645484      europe |  -.8787602   .4434187    -1.98   0.048    -1.747845   -.0096755      africa |   .1305662   .3634455     0.36   0.719     -.581774    .8429063    nafmeast |    1.05469   .2870462     3.67   0.000     .4920897     1.61729        asia |   1.048421    .394567     2.66   0.008     .2750841    1.821758       _cons |  -4.438667   .3686941   -12.04   0.000    -5.161294    -3.71604------------------------------------------------------------------------------. *capitall;. xtgee maoznewl politylo polityhi tradelo sun2cati capitall rgdppcln gdplnctg co> ntig logdstab majpdyds alliesr thirdpty fourprty cinclo lncaprt namerica sameri> ca europe africa nafmeast asia, family(binomial) link(logit) corr(ar1) force ro> bust;note:  some groups have fewer than 2 observations       not possible to estimate correlations for those groups       322 groups omitted from estimationIteration 1: tolerance = .22858214Iteration 2: tolerance = .01152993Iteration 3: tolerance = .00189541Iteration 4: tolerance = .00006833Iteration 5: tolerance = 6.521e-06Iteration 6: tolerance = 3.092e-07GEE population-averaged model                   Number of obs      =     77685Group and time vars:           dyadid year      Number of groups   =      5859Link:                                logit      Obs per group: min =         2Family:                           binomial                     avg =      13.3Correlation:                         AR(1)                     max =        18                                                Wald chi2(21)      =    706.92Scale parameter:                         1      Prob > chi2        =    0.0000                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |             Semi-robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------    politylo |  -.0383794   .0399623    -0.96   0.337    -.1167042    .0399453    polityhi |   .0048971     .05222     0.09   0.925    -.0974522    .1072464     tradelo |  -17.04067   14.62151    -1.17   0.244     -45.6983    11.61696    sun2cati |  -1.246795   .3826751    -3.26   0.001    -1.996825   -.4967658    capitall |  -.1861239   .0718901    -2.59   0.010    -.3270259   -.0452218    rgdppcln |   1.160145     .23215     5.00   0.000      .705139     1.61515    gdplnctg |  -1.011479   .3084353    -3.28   0.001    -1.616001   -.4069573      contig |   10.43552   2.470408     4.22   0.000     5.593608    15.27743    logdstab |  -.8022223   .1733937    -4.63   0.000    -1.142068   -.4623769    majpdyds |   .9005849   .4561246     1.97   0.048      .006597    1.794573     alliesr |   .3494266   .4722512     0.74   0.459    -.5761689    1.275022    thirdpty |   .1844358     .25925     0.71   0.477    -.3236848    .6925564    fourprty |   .4898943    .240653     2.04   0.042      .018223    .9615655      cinclo |   16.66126   9.480173     1.76   0.079     -1.91954    35.24205     lncaprt |  -.0811405   .1068508    -0.76   0.448    -.2905643    .1282832    namerica |   .2922792   .7118084     0.41   0.681     -1.10284    1.687398    samerica |   .9416609   .7856802     1.20   0.231    -.5982439    2.481566      europe |  -1.723934   .7576523    -2.28   0.023    -3.208905   -.2389628      africa |  -.3407584   .7564833    -0.45   0.652    -1.823439    1.141922    nafmeast |   .5909817   .5975903     0.99   0.323    -.5802738    1.762237        asia |   1.851672   .5792658     3.20   0.001     .7163318    2.987012       _cons |  -8.538684   2.422748    -3.52   0.000    -13.28718   -3.790185------------------------------------------------------------------------------. *fdi_gdpl;. xtgee maoznewl politylo polityhi tradelo sun2cati fdi_gdpl rgdppcln gdplnctg co> ntig logdstab majpdyds alliesr thirdpty fourprty cinclo lncaprt namerica sameri> ca europe africa nafmeast asia, family(binomial) link(logit) corr(ar1) force ro> bust;note:  some groups have fewer than 2 observations       not possible to estimate correlations for those groups       322 groups omitted from estimationIteration 1: tolerance = 7.6466817Iteration 2: tolerance = .11735106Iteration 3: tolerance = .01682948Iteration 4: tolerance = .00133681Iteration 5: tolerance = .00002607Iteration 6: tolerance = .00001384Iteration 7: tolerance = 9.391e-07GEE population-averaged model                   Number of obs      =     77685Group and time vars:           dyadid year      Number of groups   =      5859Link:                                logit      Obs per group: min =         2Family:                           binomial                     avg =      13.3Correlation:                         AR(1)                     max =        18                                                Wald chi2(21)      =    749.43Scale parameter:                         1      Prob > chi2        =    0.0000                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |             Semi-robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------    politylo |  -.0095623   .0393336    -0.24   0.808    -.0866548    .0675302    polityhi |   .0055368   .0507684     0.11   0.913    -.0939674    .1050411     tradelo |  -9.091453   19.94096    -0.46   0.648    -48.17501    29.99211    sun2cati |  -1.221491   .3831897    -3.19   0.001    -1.972529   -.4704529    fdi_gdpl |  -1.276161   .5542035    -2.30   0.021     -2.36238   -.1899421    rgdppcln |   1.082624   .2246371     4.82   0.000     .6423428    1.522904    gdplnctg |  -.9966799   .3180538    -3.13   0.002    -1.620054   -.3733058      contig |   10.44194    2.55349     4.09   0.000     5.437191    15.44669    logdstab |  -.7343194   .1627057    -4.51   0.000    -1.053217    -.415422    majpdyds |   .9465137   .4484159     2.11   0.035     .0676347    1.825393     alliesr |    .333982   .4771099     0.70   0.484    -.6011361      1.2691    thirdpty |   .2362648    .259165     0.91   0.362    -.2716893    .7442189    fourprty |    .538642   .2367129     2.28   0.023     .0746932    1.002591      cinclo |   19.12207   9.399951     2.03   0.042     .6985002    37.54563     lncaprt |  -.0650234   .1049029    -0.62   0.535    -.2706292    .1405825    namerica |   .4532906   .7334832     0.62   0.537    -.9843101    1.890891    samerica |   .8805072   .7942851     1.11   0.268    -.6762629    2.437277      europe |  -1.836906   .7742397    -2.37   0.018    -3.354388   -.3194245      africa |  -.1652698   .7676819    -0.22   0.830    -1.669899    1.339359    nafmeast |   .5974874   .5945214     1.00   0.315    -.5677532    1.762728        asia |   1.886702   .5722418     3.30   0.001     .7651286    3.008275       _cons |  -8.815942   2.308399    -3.82   0.000    -13.34032   -4.291563------------------------------------------------------------------------------. *portfl;. xtgee maoznewl politylo polityhi tradelo sun2cati portfl rgdppcln gdplnctg cont> ig logdstab majpdyds alliesr thirdpty fourprty cinclo lncaprt namerica samerica>  europe africa nafmeast asia, family(binomial) link(logit) corr(ar1) force robu> st;note:  some groups have fewer than 2 observations       not possible to estimate correlations for those groups       322 groups omitted from estimationIteration 1: tolerance = .24170181Iteration 2: tolerance = .01609646Iteration 3: tolerance = .00199896Iteration 4: tolerance = .00012582Iteration 5: tolerance = 6.184e-06Iteration 6: tolerance = 1.010e-06Iteration 7: tolerance = 4.063e-08GEE population-averaged model                   Number of obs      =     77685Group and time vars:           dyadid year      Number of groups   =      5859Link:                                logit      Obs per group: min =         2Family:                           binomial                     avg =      13.3Correlation:                         AR(1)                     max =        18                                                Wald chi2(21)      =    706.57Scale parameter:                         1      Prob > chi2        =    0.0000                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |             Semi-robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------    politylo |  -.0383837   .0395897    -0.97   0.332    -.1159781    .0392107    polityhi |   .0040553   .0515565     0.08   0.937    -.0969935    .1051042     tradelo |  -22.29961   14.41144    -1.55   0.122    -50.54552    5.946302    sun2cati |  -1.260843   .3921386    -3.22   0.001     -2.02942   -.4922652      portfl |  -.1315532   .0645562    -2.04   0.042    -.2580809   -.0050254    rgdppcln |   1.019402   .2173599     4.69   0.000     .5933842    1.445419    gdplnctg |  -.9903202   .2975152    -3.33   0.001    -1.573439   -.4072012      contig |   10.29698   2.389366     4.31   0.000     5.613909    14.98005    logdstab |  -.8007218    .178707    -4.48   0.000    -1.150981   -.4504625    majpdyds |   .8827263   .4593904     1.92   0.055    -.0176623    1.783115     alliesr |     .35266    .485354     0.73   0.467    -.5986165    1.303936    thirdpty |    .195816   .2587572     0.76   0.449    -.3113388    .7029708    fourprty |   .4879661   .2425503     2.01   0.044     .0125763    .9633559      cinclo |    17.2212   9.432356     1.83   0.068    -1.265883    35.70827     lncaprt |  -.0940561   .1086811    -0.87   0.387    -.3070671    .1189549    namerica |   .2845736   .7155441     0.40   0.691    -1.117867    1.687014    samerica |   .9860923   .7882217     1.25   0.211    -.5587938    2.530978      europe |  -1.729674    .771678    -2.24   0.025    -3.242135   -.2172125      africa |  -.4255631   .7632097    -0.56   0.577    -1.921427      1.0703    nafmeast |   .5558081   .6149672     0.90   0.366    -.6495055    1.761122        asia |   1.897979   .5779022     3.28   0.001     .7653118    3.030647       _cons |  -7.610611   2.379914    -3.20   0.001    -12.27516   -2.946066------------------------------------------------------------------------------. *openlo and mousseau;. xtgee maoznewl politylo polityhi demgdpln tradelo openlo sun2cati capopenl rgdp> pcln gdplnctg contig logdstab majpdyds alliesr thirdpty fourprty cinclo lncaprt>  namerica samerica europe africa nafmeast asia, family(binomial) link(logit) co> rr(ar1) force robust;note:  some groups have fewer than 2 observations       not possible to estimate correlations for those groups       1853 groups omitted from estimationIteration 1: tolerance = .2265373Iteration 2: tolerance = .03916944Iteration 3: tolerance = .00242268Iteration 4: tolerance = .00033771Iteration 5: tolerance = .00002373Iteration 6: tolerance = 3.650e-06Iteration 7: tolerance = 3.981e-07GEE population-averaged model                   Number of obs      =    170214Group and time vars:           dyadid year      Number of groups   =      8254Link:                                logit      Obs per group: min =         2Family:                           binomial                     avg =      20.6Correlation:                         AR(1)                     max =        27                                                Wald chi2(23)      =   1440.20Scale parameter:                         1      Prob > chi2        =    0.0000                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |             Semi-robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------    politylo |  -.1180048   .1637579    -0.72   0.471    -.4389644    .2029548    polityhi |  -.0134465   .0257607    -0.52   0.602    -.0639366    .0370435    demgdpln |   .0050876    .009796     0.52   0.604    -.0141121    .0242874     tradelo |  -6.906931   9.085593    -0.76   0.447    -24.71437     10.9005      openlo |  -.1119538    .576572    -0.19   0.846    -1.242014    1.018107    sun2cati |  -1.219541   .1974371    -6.18   0.000     -1.60651    -.832571    capopenl |  -.1700195   .0457688    -3.71   0.000    -.2597248   -.0803142    rgdppcln |   .8727433   .1340088     6.51   0.000     .6100909    1.135396    gdplnctg |  -1.176057   .1711875    -6.87   0.000    -1.511578   -.8405355      contig |    11.6162   1.305406     8.90   0.000     9.057649    14.17475    logdstab |   -.619153   .1006306    -6.15   0.000    -.8163853   -.4219207    majpdyds |   1.131019   .3151767     3.59   0.000     .5132844    1.748754     alliesr |   -.263616   .2952608    -0.89   0.372    -.8423166    .3150846    thirdpty |   .0388405   .1355372     0.29   0.774    -.2268076    .3044886    fourprty |   .4478528   .1287663     3.48   0.001     .1954755    .7002301      cinclo |   15.91831   8.396758     1.90   0.058    -.5390327    32.37566     lncaprt |  -.1188447   .0658409    -1.81   0.071    -.2478906    .0102012    namerica |   .4704772   .5381267     0.87   0.382    -.5842318    1.525186    samerica |   1.018503   .5702289     1.79   0.074    -.0991255    2.136131      europe |  -.7999648   .4023836    -1.99   0.047    -1.588622   -.0113073      africa |   .0648553   .4309977     0.15   0.880    -.7798847    .9095952    nafmeast |   1.138039   .3211664     3.54   0.000     .5085644    1.767513        asia |   1.309055   .3910157     3.35   0.001     .5426781    2.075432       _cons |  -6.543155   1.267517    -5.16   0.000    -9.027441   -4.058868------------------------------------------------------------------------------. *comment:  other economic measures using GEE;. *kaopenlo;. xtgee maoznewl politylo polityhi tradelo sun2cati kaopenlo rgdppcln gdplnctg co> ntig logdstab majpdyds alliesr thirdpty fourprty cinclo lncaprt namerica sameri> ca europe africa nafmeast asia, family(binomial) link(logit) corr(ar1) force ro> bust;note:  some groups have fewer than 2 observations       not possible to estimate correlations for those groups       5 groups omitted from estimationIteration 1: tolerance = .16048319Iteration 2: tolerance = .01389298Iteration 3: tolerance = .00064114Iteration 4: tolerance = .00001625Iteration 5: tolerance = 1.739e-06Iteration 6: tolerance = 1.121e-07GEE population-averaged model                   Number of obs      =     68040Group and time vars:           dyadid year      Number of groups   =      4743Link:                                logit      Obs per group: min =         2Family:                           binomial                     avg =      14.3Correlation:                         AR(1)                     max =        16                                                Wald chi2(21)      =    689.88Scale parameter:                         1      Prob > chi2        =    0.0000                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |             Semi-robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------    politylo |  -.0498517   .0474764    -1.05   0.294    -.1429037    .0432002    polityhi |  -.0296392   .0517778    -0.57   0.567    -.1311219    .0718434     tradelo |  -15.19374   18.52771    -0.82   0.412    -51.50738     21.1199    sun2cati |  -1.028767   .4060159    -2.53   0.011    -1.824543   -.2329902    kaopenlo |  -.3064198   .1334266    -2.30   0.022     -.567931   -.0449085    rgdppcln |   .8394805   .2001556     4.19   0.000     .4471827    1.231778    gdplnctg |  -1.010909   .2977889    -3.39   0.001    -1.594565   -.4272537      contig |   10.52034   2.412951     4.36   0.000     5.791045    15.24964    logdstab |  -.8199883   .1779473    -4.61   0.000    -1.168759    -.471218    majpdyds |   .8537857   .4929148     1.73   0.083    -.1123095    1.819881     alliesr |  -.0235337   .5001021    -0.05   0.962    -1.003716    .9566483    thirdpty |    .290388   .2760429     1.05   0.293    -.2506462    .8314222    fourprty |    .748669   .2575516     2.91   0.004      .243877    1.253461      cinclo |    71.0664   21.03558     3.38   0.001     29.83742    112.2954     lncaprt |    .098116   .1141225     0.86   0.390      -.12556     .321792    namerica |   .5038395   .7366455     0.68   0.494    -.9399592    1.947638    samerica |   .7013649    .820911     0.85   0.393    -.9075912    2.310321      europe |  -1.290378   .8533982    -1.51   0.131    -2.963008    .3822516      africa |  -.5019796   .7945605    -0.63   0.528    -2.059289     1.05533    nafmeast |   .2802661   .6132615     0.46   0.648    -.9217044    1.482237        asia |   1.820263   .6538098     2.78   0.005     .5388193    3.101707       _cons |  -6.826635   2.347681    -2.91   0.004      -11.428   -2.225265------------------------------------------------------------------------------. *jtkaopen;. xtgee maoznewl politylo polityhi tradelo sun2cati jtkaopen rgdppcln gdplnctg co> ntig logdstab majpdyds alliesr thirdpty fourprty cinclo lncaprt namerica sameri> ca europe africa nafmeast asia, family(binomial) link(logit) corr(ar1) force ro> bust;note:  some groups have fewer than 2 observations       not possible to estimate correlations for those groups       5 groups omitted from estimationIteration 1: tolerance = .16603027Iteration 2: tolerance = .01349685Iteration 3: tolerance = .00068374Iteration 4: tolerance = .00001188Iteration 5: tolerance = 9.052e-07GEE population-averaged model                   Number of obs      =     68040Group and time vars:           dyadid year      Number of groups   =      4743Link:                                logit      Obs per group: min =         2Family:                           binomial                     avg =      14.3Correlation:                         AR(1)                     max =        16                                                Wald chi2(21)      =    635.11Scale parameter:                         1      Prob > chi2        =    0.0000                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |             Semi-robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------    politylo |  -.0460465   .0462379    -1.00   0.319    -.1366712    .0445782    polityhi |  -.0215286    .051721    -0.42   0.677       -.1229    .0798427     tradelo |  -20.80643   19.04081    -1.09   0.275    -58.12573    16.51288    sun2cati |  -1.056222   .4062606    -2.60   0.009    -1.852479   -.2599663    jtkaopen |  -.0753041   .0482664    -1.56   0.119    -.1699046    .0192963    rgdppcln |   .7112937   .1883732     3.78   0.000      .342089    1.080498    gdplnctg |  -1.015404   .2950836    -3.44   0.001    -1.593758   -.4370512      contig |   10.60908   2.414627     4.39   0.000       5.8765    15.34167    logdstab |  -.8498542   .1882731    -4.51   0.000    -1.218863   -.4808457    majpdyds |   .6781325   .4891541     1.39   0.166    -.2805919    1.636857     alliesr |  -.0015796   .5045764    -0.00   0.998    -.9905313     .987372    thirdpty |   .2974361   .2798255     1.06   0.288    -.2510118    .8458841    fourprty |   .7369686   .2572078     2.87   0.004     .2328505    1.241087      cinclo |   67.95316   20.08909     3.38   0.001     28.57925    107.3271     lncaprt |   .0736854    .116814     0.63   0.528    -.1552658    .3026367    namerica |   .4032395   .7314882     0.55   0.581    -1.030451     1.83693    samerica |   .7069401   .8372097     0.84   0.398    -.9339609    2.347841      europe |  -1.277229   .8346904    -1.53   0.126    -2.913192    .3587343      africa |   -.658593   .8371879    -0.79   0.431    -2.299451    .9822652    nafmeast |   .2669573   .6217793     0.43   0.668    -.9517078    1.485622        asia |   1.543853   .6477726     2.38   0.017     .2742423    2.813464       _cons |  -5.261052   2.325729    -2.26   0.024    -9.819397   -.7027079------------------------------------------------------------------------------. *econfrel;. xtgee maoznewl politylo polityhi tradelo sun2cati econfrel rgdppcln gdplnctg co> ntig logdstab majpdyds alliesr thirdpty fourprty cinclo lncaprt namerica sameri> ca europe africa nafmeast asia, family(binomial) link(logit) corr(ar1) force ro> bust;note:  some groups have fewer than 2 observations       not possible to estimate correlations for those groups       766 groups omitted from estimationIteration 1: tolerance = .0201714Iteration 2: tolerance = .00031247Iteration 3: tolerance = 2.155e-06Iteration 4: tolerance = 1.049e-08GEE population-averaged model                   Number of obs      =     17117Group and time vars:           dyadid year      Number of groups   =      4813Link:                                logit      Obs per group: min =         2Family:                           binomial                     avg =       3.6Correlation:                         AR(1)                     max =         5                                                Wald chi2(21)      =    680.72Scale parameter:                         1      Prob > chi2        =    0.0000                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |             Semi-robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------    politylo |   .0667656   .0501196     1.33   0.183    -.0314671    .1649983    polityhi |   .1083412   .0749776     1.44   0.148    -.0386122    .2552946     tradelo |  -5.264497   18.89592    -0.28   0.781    -42.29982    31.77082    sun2cati |  -1.055668   .3772764    -2.80   0.005    -1.795116   -.3162202    econfrel |  -.4480667   .1136505    -3.94   0.000    -.6708176   -.2253157    rgdppcln |   .5157919   .3461193     1.49   0.136    -.1625894    1.194173    gdplnctg |  -.4984747   .3790732    -1.31   0.189    -1.241445    .2444952      contig |   6.200748   2.969086     2.09   0.037     .3814461    12.02005    logdstab |  -.7388486   .1876028    -3.94   0.000    -1.106543   -.3711538    majpdyds |   1.272428   .5017062     2.54   0.011     .2891018    2.255754     alliesr |   .5965067   .5373941     1.11   0.267    -.4567664     1.64978    thirdpty |   .2415042   .3691103     0.65   0.513    -.4819388    .9649471    fourprty |   .5854808   .3681477     1.59   0.112    -.1360754    1.307037      cinclo |   7.336848    6.64077     1.10   0.269    -5.678822    20.35252     lncaprt |  -.0962388   .1396411    -0.69   0.491    -.3699304    .1774527    namerica |   .2431617   .7602237     0.32   0.749    -1.246849    1.733173    samerica |   .5981971   .8356262     0.72   0.474      -1.0396    2.235994      europe |   -1.52498   .6702342    -2.28   0.023    -2.838615   -.2113454      africa |   .2774522   .8734382     0.32   0.751    -1.434455     1.98936    nafmeast |   1.254421   .7030991     1.78   0.074    -.1236279     2.63247        asia |   2.141665   .6307884     3.40   0.001     .9053424    3.377988       _cons |  -3.841072   3.168875    -1.21   0.225    -10.05195    2.369809------------------------------------------------------------------------------. *iecofrel;. xtgee maoznewl politylo polityhi tradelo sun2cati iecofrel rgdppcln gdplnctg co> ntig logdstab majpdyds alliesr thirdpty fourprty cinclo lncaprt namerica sameri> ca europe africa nafmeast asia, family(binomial) link(logit) corr(ar1) force ro> bust;note:  some groups have fewer than 2 observations       not possible to estimate correlations for those groups       209 groups omitted from estimationIteration 1: tolerance = .12192231Iteration 2: tolerance = .02395277Iteration 3: tolerance = .00024271Iteration 4: tolerance = .00003867Iteration 5: tolerance = 4.047e-07GEE population-averaged model                   Number of obs      =     80855Group and time vars:           dyadid year      Number of groups   =      5495Link:                                logit      Obs per group: min =         2Family:                           binomial                     avg =      14.7Correlation:                         AR(1)                     max =        23                                                Wald chi2(21)      =   1002.77Scale parameter:                         1      Prob > chi2        =    0.0000                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |             Semi-robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------    politylo |  -.0122066   .0377879    -0.32   0.747    -.0862696    .0618563    polityhi |   .0037019   .0455125     0.08   0.935     -.085501    .0929048     tradelo |  -4.692643   9.326944    -0.50   0.615    -22.97312    13.58783    sun2cati |  -1.195177   .3091978    -3.87   0.000    -1.801193     -.58916    iecofrel |  -.4590337   .0998842    -4.60   0.000    -.6548031   -.2632643    rgdppcln |   .9089669   .1891906     4.80   0.000     .5381601    1.279774    gdplnctg |  -.5616542   .2691021    -2.09   0.037    -1.089085   -.0342237      contig |   7.201053   2.193925     3.28   0.001      2.90104    11.50107    logdstab |   -.572748   .1497877    -3.82   0.000    -.8663266   -.2791695    majpdyds |   .6707355   .3765592     1.78   0.075     -.067307    1.408778     alliesr |  -.0210339   .4231477    -0.05   0.960    -.8503881    .8083203    thirdpty |   .3488909   .2310126     1.51   0.131    -.1038855    .8016673    fourprty |    .670574   .2218521     3.02   0.003     .2357518    1.105396      cinclo |   4.755622   5.499314     0.86   0.387    -6.022836    15.53408     lncaprt |   .0128198   .1111792     0.12   0.908    -.2050874    .2307269    namerica |   .9030281   .6953162     1.30   0.194    -.4597665    2.265823    samerica |   .6859034   .7442873     0.92   0.357    -.7728729     2.14468      europe |  -.8796336   .4792354    -1.84   0.066    -1.818918    .0596505      africa |     .53558   .7266094     0.74   0.461    -.8885482    1.959708    nafmeast |    .807448   .5230621     1.54   0.123    -.2177349    1.832631        asia |   2.152427   .5498147     3.91   0.000      1.07481    3.230044       _cons |  -7.009463   2.029381    -3.45   0.001    -10.98698   -3.031948------------------------------------------------------------------------------. *icapitlo;. xtgee maoznewl demlo demhi deplo sun2cati icapitlo rgdppcln gdplnctg contig log> dstab majpdyds alliesr thirdpty fourprty cinclo lncaprt namerica samerica europ> e africa nafmeast asia, family(binomial) link(logit) corr(ar1) force robust;note:  some groups have fewer than 2 observations       not possible to estimate correlations for those groups       90 groups omitted from estimationIteration 1: tolerance = .13567799Iteration 2: tolerance = .00615988Iteration 3: tolerance = .00030059Iteration 4: tolerance = .00002771Iteration 5: tolerance = 1.303e-06Iteration 6: tolerance = 7.401e-08GEE population-averaged model                   Number of obs      =     79972Group and time vars:           dyadid year      Number of groups   =      3556Link:                                logit      Obs per group: min =         2Family:                           binomial                     avg =      22.5Correlation:                         AR(1)                     max =        43                                                Wald chi2(21)      =    752.75Scale parameter:                         1      Prob > chi2        =    0.0000                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |             Semi-robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |   .0061061    .014865     0.41   0.681    -.0230287    .0352409       demhi |   .0090064   .0214233     0.42   0.674    -.0329825    .0509953       deplo |  -32.12704   20.71053    -1.55   0.121    -72.71893    8.464852    sun2cati |  -.9713163   .2873177    -3.38   0.001    -1.534449    -.408184    icapitlo |  -.0134772   .0065499    -2.06   0.040    -.0263148   -.0006395    rgdppcln |   .6116394   .2171929     2.82   0.005     .1859492     1.03733    gdplnctg |  -.8359435   .2653218    -3.15   0.002    -1.355965   -.3159223      contig |   8.469715   2.028196     4.18   0.000     4.494524    12.44491    logdstab |  -.9766702   .1712484    -5.70   0.000    -1.312311   -.6410296    majpdyds |   1.495418   .3688677     4.05   0.000     .7724505    2.218385     alliesr |  -.0972788   .4485624    -0.22   0.828     -.976445    .7818873    thirdpty |  -.0258964   .2065877    -0.13   0.900    -.4308009     .379008    fourprty |   .4701686   .1903111     2.47   0.013     .0971657    .8431714      cinclo |   19.98812   6.798114     2.94   0.003      6.66406    33.31218     lncaprt |  -.1400116   .1058116    -1.32   0.186    -.3473984    .0673753    namerica |   .3232502   .6324241     0.51   0.609    -.9162783    1.562779    samerica |   1.004015   .7838417     1.28   0.200    -.5322869    2.540316      europe |  -1.634262    .769024    -2.13   0.034    -3.141521   -.1270024      africa |   .2742995   .7040512     0.39   0.697    -1.105615    1.654214    nafmeast |   1.589826   .4583642     3.47   0.001     .6914485    2.488203        asia |   1.456936   .4812352     3.03   0.002     .5137319    2.400139       _cons |  -2.589974   2.172417    -1.19   0.233    -6.847833    1.667886------------------------------------------------------------------------------. *comment:  additional tests;. corr bothwarsaw bothnato;(obs=386556)             | bothwa~w bothnato-------------+------------------  bothwarsaw |   1.0000    bothnato |  -0.0043   1.0000. tab bothnato bothwarsaw;           |     WARSAW dummyNATO dummy |         0          1 |     Total-----------+----------------------+----------         0 |   381,732        639 |   382,371          1 |     4,185          0 |     4,185 -----------+----------------------+----------     Total |   385,917        639 |   386,556 . logit maoznewl demlo demhi deplo sun2cati bothboth capopenl rgdppclo gdpcontg c> ontig logdstab majpdyds allies lncaprt _spline*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -3769.6816Iteration 1:   log pseudolikelihood = -2627.7975Iteration 2:   log pseudolikelihood = -2212.5864Iteration 3:   log pseudolikelihood = -2093.0225Iteration 4:   log pseudolikelihood = -2076.6124Iteration 5:   log pseudolikelihood = -2075.9602Iteration 6:   log pseudolikelihood = -2075.9586Logit estimates                                   Number of obs   =     166140                                                  Wald chi2(16)   =    1652.26                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -2075.9586                 Pseudo R2       =     0.4493                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.0203765   .0122299    -1.67   0.096    -.0443466    .0035937       demhi |  -.0036059   .0124264    -0.29   0.772    -.0279613    .0207494       deplo |  -7.334257     9.5408    -0.77   0.442    -26.03388    11.36537    sun2cati |  -.9858273   .2004319    -4.92   0.000    -1.378667   -.5929881    bothboth |   .5648905   .4347161     1.30   0.194    -.2871374    1.416918    capopenl |  -.2418735   .0574612    -4.21   0.000    -.3544954   -.1292516    rgdppclo |   .0002401   .0000321     7.49   0.000     .0001773     .000303    gdpcontg |  -.0002838    .000048    -5.92   0.000    -.0003778   -.0001898      contig |   3.763101   .2777473    13.55   0.000     3.218726    4.307475    logdstab |  -.4182911   .0859178    -4.87   0.000    -.5866868   -.2498954    majpdyds |   1.385102   .2793001     4.96   0.000     .8376841     1.93252     alliesr |  -.0766236   .2465623    -0.31   0.756    -.5598768    .4066296     lncaprt |  -.1510138   .0550249    -2.74   0.006    -.2588606   -.0431669    _spline1 |   .0047343   .0005907     8.02   0.000     .0035766     .005892    _spline2 |   -.004388   .0006835    -6.42   0.000    -.0057277   -.0030483    _spline3 |   .0016437   .0003552     4.63   0.000     .0009476    .0023398       _cons |  -1.077566   .7693502    -1.40   0.161    -2.585465    .4303327------------------------------------------------------------------------------. logit maoznewl demlo demhi deplo sun2cati bothnato capopenl rgdppclo gdpcontg c> ontig logdstab majpdyds allies lncaprt _spline*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -3769.6816Iteration 1:   log pseudolikelihood = -2627.4001Iteration 2:   log pseudolikelihood = -2212.4385Iteration 3:   log pseudolikelihood =  -2092.852Iteration 4:   log pseudolikelihood = -2076.4262Iteration 5:   log pseudolikelihood = -2075.7726Iteration 6:   log pseudolikelihood = -2075.7711Logit estimates                                   Number of obs   =     166140                                                  Wald chi2(16)   =    1653.71                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -2075.7711                 Pseudo R2       =     0.4494                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.0205669   .0122835    -1.67   0.094    -.0446422    .0035084       demhi |  -.0037126   .0124292    -0.30   0.765    -.0280733    .0206482       deplo |  -7.371567   9.520496    -0.77   0.439     -26.0314    11.28826    sun2cati |  -.9862275    .200408    -4.92   0.000     -1.37902   -.5934351    bothnato |   .5946297    .440032     1.35   0.177    -.2678172    1.457076    capopenl |  -.2417527   .0574416    -4.21   0.000     -.354336   -.1291693    rgdppclo |   .0002397   .0000321     7.47   0.000     .0001768    .0003026    gdpcontg |  -.0002842   .0000479    -5.93   0.000    -.0003781   -.0001903      contig |   3.764939   .2780866    13.54   0.000     3.219899    4.309978    logdstab |  -.4183933   .0859585    -4.87   0.000     -.586869   -.2499177    majpdyds |   1.383657   .2797301     4.95   0.000     .8353962    1.931918     alliesr |  -.0800066   .2470413    -0.32   0.746    -.5641987    .4041855     lncaprt |  -.1511074   .0550036    -2.75   0.006    -.2589124   -.0433023    _spline1 |   .0047261   .0005916     7.99   0.000     .0035666    .0058856    _spline2 |  -.0043789   .0006844    -6.40   0.000    -.0057204   -.0030374    _spline3 |   .0016394   .0003555     4.61   0.000     .0009425    .0023362       _cons |  -1.077255   .7698652    -1.40   0.162    -2.586163    .4316528------------------------------------------------------------------------------. logit maoznewl demlo demhi deplo sun2cati bothwarsaw capopenl rgdppclo gdpcontg>  contig logdstab majpdyds allies lncaprt _spline*, cluster(dyadid);note: bothwarsaw != 0 predicts failure perfectly      bothwarsaw dropped and 16 obs not usedIteration 0:   log pseudolikelihood = -3769.6271Iteration 1:   log pseudolikelihood = -2630.2702Iteration 2:   log pseudolikelihood = -2214.3759Iteration 3:   log pseudolikelihood = -2094.9189Iteration 4:   log pseudolikelihood = -2078.4586Iteration 5:   log pseudolikelihood = -2077.8019Iteration 6:   log pseudolikelihood = -2077.8003Iteration 7:   log pseudolikelihood = -2077.8003Logit estimates                                   Number of obs   =     166124                                                  Wald chi2(15)   =    1607.69                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -2077.8003                 Pseudo R2       =     0.4488                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.0170484   .0118823    -1.43   0.151    -.0403373    .0062404       demhi |  -.0022043   .0125406    -0.18   0.860    -.0267833    .0223748       deplo |  -5.303757   8.996834    -0.59   0.556    -22.93723    12.32971    sun2cati |  -.9826976   .2004786    -4.90   0.000    -1.375628   -.5897669    capopenl |  -.2470354   .0581371    -4.25   0.000     -.360982   -.1330887    rgdppclo |   .0002481   .0000325     7.63   0.000     .0001844    .0003119    gdpcontg |  -.0002777   .0000492    -5.64   0.000    -.0003742   -.0001813      contig |   3.741185   .2733294    13.69   0.000      3.20547    4.276901    logdstab |  -.4163965   .0852836    -4.88   0.000    -.5835493   -.2492437    majpdyds |   1.402941   .2733981     5.13   0.000     .8670908    1.938792     alliesr |  -.0063969   .2333839    -0.03   0.978    -.4638209    .4510271     lncaprt |  -.1506672   .0554945    -2.71   0.007    -.2594345      -.0419    _spline1 |   .0047339   .0005903     8.02   0.000     .0035769    .0058909    _spline2 |  -.0043794   .0006838    -6.40   0.000    -.0057196   -.0030391    _spline3 |    .001636   .0003554     4.60   0.000     .0009394    .0023326       _cons |  -1.088009   .7615235    -1.43   0.153    -2.580567    .4045499------------------------------------------------------------------------------. logit maoznewl demlo demhi deplo sun2cati nuclear1 capopenl rgdppclo gdpcontg c> ontig logdstab majpdyds allies lncaprt _spline*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -3769.6816Iteration 1:   log pseudolikelihood =  -2616.679Iteration 2:   log pseudolikelihood = -2205.4062Iteration 3:   log pseudolikelihood = -2090.8433Iteration 4:   log pseudolikelihood = -2075.0428Iteration 5:   log pseudolikelihood = -2074.4269Iteration 6:   log pseudolikelihood = -2074.4254Logit estimates                                   Number of obs   =     166140                                                  Wald chi2(16)   =    1868.98                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -2074.4254                 Pseudo R2       =     0.4497                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.0158132   .0122166    -1.29   0.196    -.0397574    .0081309       demhi |  -.0080573   .0132099    -0.61   0.542    -.0339483    .0178337       deplo |  -1.582671   9.095774    -0.17   0.862    -19.41006    16.24472    sun2cati |  -.8802815   .2207439    -3.99   0.000    -1.312932   -.4476314    nuclear1 |   .5412393   .2988349     1.81   0.070    -.0444664    1.126945    capopenl |  -.2414803   .0602355    -4.01   0.000    -.3595398   -.1234208    rgdppclo |   .0002438   .0000327     7.46   0.000     .0001797    .0003078    gdpcontg |   -.000287   .0000506    -5.67   0.000    -.0003862   -.0001877      contig |   3.759873   .2710865    13.87   0.000     3.228554    4.291193    logdstab |  -.3762693   .0875805    -4.30   0.000    -.5479239   -.2046148    majpdyds |   .9724417   .3970663     2.45   0.014     .1942061    1.750677     alliesr |   .0556653   .2473724     0.23   0.822    -.4291757    .5405064     lncaprt |  -.1424064   .0558116    -2.55   0.011    -.2517952   -.0330177    _spline1 |   .0047085   .0005951     7.91   0.000     .0035422    .0058748    _spline2 |  -.0043609   .0006863    -6.35   0.000     -.005706   -.0030159    _spline3 |   .0016333   .0003548     4.60   0.000      .000938    .0023287       _cons |   -1.52909   .8211511    -1.86   0.063    -3.138516    .0803366------------------------------------------------------------------------------. logit maoznewl demlo demhi deplo sun2cati nuclear2 capopenl rgdppclo gdpcontg c> ontig logdstab majpdyds allies lncaprt _spline*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -3769.6816Iteration 1:   log pseudolikelihood = -2629.7455Iteration 2:   log pseudolikelihood =  -2213.575Iteration 3:   log pseudolikelihood = -2094.2175Iteration 4:   log pseudolikelihood = -2077.8441Iteration 5:   log pseudolikelihood = -2077.1933Iteration 6:   log pseudolikelihood = -2077.1918Logit estimates                                   Number of obs   =     166140                                                  Wald chi2(16)   =    1618.39                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -2077.1918                 Pseudo R2       =     0.4490                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------       demlo |  -.0169974   .0119336    -1.42   0.154    -.0403867     .006392       demhi |  -.0018656   .0124947    -0.15   0.881    -.0263548    .0226235       deplo |  -5.581289   9.012859    -0.62   0.536    -23.24617    12.08359    sun2cati |  -.9720544   .2002332    -4.85   0.000    -1.364504   -.5796045    nuclear2 |  -.8751343   .9969823    -0.88   0.380    -2.829184    1.078915    capopenl |    -.24687   .0579017    -4.26   0.000    -.3603553   -.1333847    rgdppclo |    .000247   .0000325     7.60   0.000     .0001833    .0003107    gdpcontg |  -.0002765   .0000495    -5.58   0.000    -.0003736   -.0001794      contig |   3.750661   .2730813    13.73   0.000     3.215432    4.285891    logdstab |  -.4143672   .0849261    -4.88   0.000    -.5808193   -.2479151    majpdyds |   1.432998   .2776334     5.16   0.000     .8888462    1.977149     alliesr |  -.0142504   .2329571    -0.06   0.951     -.470838    .4423372     lncaprt |  -.1551225    .056044    -2.77   0.006    -.2649668   -.0452782    _spline1 |   .0047383   .0005897     8.03   0.000     .0035825    .0058941    _spline2 |  -.0043827    .000683    -6.42   0.000    -.0057213    -.003044    _spline3 |    .001636   .0003551     4.61   0.000       .00094    .0023319       _cons |  -1.104344    .758922    -1.46   0.146    -2.591804    .3831161------------------------------------------------------------------------------. * more additional tests;. *data for figure 3 using model 2.1;. logit maoznewl politylo deplo sun2cati capopenl rgdppclo gdpcontg contig logdst> ab majpdyds allies lncaprt _spline*, cluster(dyadid);Iteration 0:   log pseudolikelihood = -3775.1831Iteration 1:   log pseudolikelihood = -2637.3539Iteration 2:   log pseudolikelihood =  -2230.793Iteration 3:   log pseudolikelihood = -2114.0139Iteration 4:   log pseudolikelihood = -2097.4924Iteration 5:   log pseudolikelihood = -2096.8192Iteration 6:   log pseudolikelihood = -2096.8176Logit estimates                                   Number of obs   =     171194                                                  Wald chi2(14)   =    1630.29                                                  Prob > chi2     =     0.0000Log pseudolikelihood = -2096.8176                 Pseudo R2       =     0.4446                           (standard errors adjusted for clustering on dyadid)------------------------------------------------------------------------------             |               Robust    maoznewl |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]-------------+----------------------------------------------------------------    politylo |  -.0251153    .024742    -1.02   0.310    -.0736087    .0233782       deplo |  -5.968127   8.587015    -0.70   0.487    -22.79837    10.86211    sun2cati |  -1.006568   .1986146    -5.07   0.000    -1.395845   -.6172906    capopenl |  -.2426685   .0541902    -4.48   0.000    -.3488793   -.1364577    rgdppclo |   .0002298   .0000301     7.63   0.000     .0001707    .0002888    gdpcontg |  -.0002656   .0000414    -6.42   0.000    -.0003467   -.0001845      contig |   3.759933   .2678127    14.04   0.000      3.23503    4.284836    logdstab |  -.4214784   .0833938    -5.05   0.000    -.5849273   -.2580296    majpdyds |   1.394939   .2658665     5.25   0.000     .8738498    1.916027     alliesr |   .0198731   .2208139     0.09   0.928    -.4129143    .4526605     lncaprt |  -.1571295   .0549688    -2.86   0.004    -.2648663   -.0493926    _spline1 |   .0045002   .0005722     7.86   0.000     .0033786    .0056217    _spline2 |  -.0041202   .0006652    -6.19   0.000     -.005424   -.0028164    _spline3 |   .0015124   .0003476     4.35   0.000     .0008311    .0021936       _cons |  -.9536783   .7427253    -1.28   0.199    -2.409393    .5020365------------------------------------------------------------------------------. gen temppred=politylo;(74642 missing values generated). replace politylo=0;(362726 real changes made). predict pmin;(option p assumed; Pr(maoznewl))(175285 missing values generated). replace politylo=0+((1/4)*(2.426856-0));(386556 real changes made). predict p14mean;(option p assumed; Pr(maoznewl))(175285 missing values generated). replace politylo=0+((1/2)*(2.426856-0));(386556 real changes made). predict p12mean;(option p assumed; Pr(maoznewl))(175285 missing values generated). replace politylo=0+((3/4)*(2.426856-0));(386556 real changes made). predict p34mean;(option p assumed; Pr(maoznewl))(175285 missing values generated). replace politylo=2.426856;(386556 real changes made). predict pmean;(option p assumed; Pr(maoznewl))(175285 missing values generated). replace politylo=2.426856+((1/2)*2.792056);(386556 real changes made). predict pm12sd;(option p assumed; Pr(maoznewl))(175285 missing values generated). replace politylo=2.426856+(2.792056);(386556 real changes made). predict pm1sd;(option p assumed; Pr(maoznewl))(175285 missing values generated). replace politylo=2.426856+((2)*2.792056);(386556 real changes made). predict pm2sd;(option p assumed; Pr(maoznewl))(175285 missing values generated). replace politylo=10;(386556 real changes made). predict pmax;(option p assumed; Pr(maoznewl))(175285 missing values generated). summarize pmin p14mean p12mean p34mean pmean pm12sd pm1sd pm2sd pmax;    Variable |       Obs        Mean    Std. Dev.       Min        Max-------------+--------------------------------------------------------        pmin |    211271    .0032069    .0229952   .0000145   .7589244     p14mean |    211271    .0031665    .0227682   .0000143   .7561255     p12mean |    211271    .0031265    .0225428   .0000141   .7533047     p34mean |    211271     .003087    .0223191   .0000139   .7504621       pmean |    211271    .0030479    .0220969   .0000137   .7475976-------------+--------------------------------------------------------      pm12sd |    211271    .0029596     .021592   .0000132   .7409244       pm1sd |    211271    .0028736    .0210957   .0000127   .7341375       pm2sd |    211271    .0027083    .0201286   .0000119   .7202282        pmax |    211271    .0025958    .0194601   .0000113   .7100524. drop pmin p14mean p12mean p34mean pmean pm12sd pm1sd pm2sd pmax;. replace politylo=temppred;(375212 real changes made, 74642 to missing). drop temppred;. gen temppred=sun2cati;(43347 missing values generated). replace sun2cati=-1;(386064 real changes made). predict pmin;(option p assumed; Pr(maoznewl))(210148 missing values generated). replace sun2cati=-1+((1/4)*(0.7390797+1));(386556 real changes made). predict p14mean;(option p assumed; Pr(maoznewl))(210148 missing values generated). replace sun2cati=-1+((1/2)*(0.7390797+1));(386556 real changes made). predict p12mean;(option p assumed; Pr(maoznewl))(210148 missing values generated). replace sun2cati=-1+((3/4)*(0.7390797+1));(386556 real changes made). predict p34mean;(option p assumed; Pr(maoznewl))(210148 missing values generated). replace sun2cati=0.7390797;(386556 real changes made). predict pmean;(option p assumed; Pr(maoznewl))(210148 missing values generated). replace sun2cati=0.7390797+((1/4)*(1-0.7390797));(386556 real changes made). predict pm12sd;(option p assumed; Pr(maoznewl))(210148 missing values generated). replace sun2cati=0.7390797+((1/2)*(1-0.7390797));(386556 real changes made). predict pm1sd;(option p assumed; Pr(maoznewl))(210148 missing values generated). replace sun2cati=0.7390797+((3/4)*(1-0.7390797));(386556 real changes made). predict pm2sd;(option p assumed; Pr(maoznewl))(210148 missing values generated). replace sun2cati=1;(386556 real changes made). predict pmax;(option p assumed; Pr(maoznewl))(210148 missing values generated). summarize pmin p14mean p12mean p34mean pmean pm12sd pm1sd pm2sd pmax;    Variable |       Obs        Mean    Std. Dev.       Min        Max-------------+--------------------------------------------------------        pmin |    176408     .011878    .0601356    .000121   .9176254     p14mean |    176408    .0087466    .0490344   .0000781   .8779208     p12mean |    176408    .0063384    .0387917   .0000504   .8227747     p34mean |    176408    .0045101    .0297551   .0000326   .7498168       pmean |    176408    .0031497    .0221502    .000021   .6592626-------------+--------------------------------------------------------      pm12sd |    176408    .0029799    .0211385   .0000197   .6443629       pm1sd |    176408    .0028181    .0201605   .0000184   .6291782       pm2sd |    176408    .0026641     .019216   .0000173   .6137337        pmax |    176408    .0025176    .0183048   .0000162    .598057. drop pmin p14mean p12mean p34mean pmean pm12sd pm1sd pm2sd pmax;. replace sun2cati=temppred;(300507 real changes made, 43347 to missing). drop temppred;. gen temppred=capopenl;(145956 missing values generated). replace capopenl=0;(373833 real changes made). predict pmin;(option p assumed; Pr(maoznewl))(133849 missing values generated). replace capopenl=((1/4)*(3.005964));capopenl was byte now float(386556 real changes made). predict p14mean;(option p assumed; Pr(maoznewl))(133849 missing values generated). replace capopenl=((1/2)*(3.005964));(386556 real changes made). predict p12mean;(option p assumed; Pr(maoznewl))(133849 missing values generated). replace capopenl=((3/4)*(3.005964));(386556 real changes made). predict p34mean;(option p assumed; Pr(maoznewl))(133849 missing values generated). replace capopenl=3.005964;(386556 real changes made). predict pmean;(option p assumed; Pr(maoznewl))(133849 missing values generated). replace capopenl=3.005964+((1/2)*1.627334);(386556 real changes made). predict pm12sd;(option p assumed; Pr(maoznewl))(133849 missing values generated). replace capopenl=3.005964+1.627334;(386556 real changes made). predict pm1sd;(option p assumed; Pr(maoznewl))(133849 missing values generated). replace capopenl=3.005964+((2)*1.627334);(386556 real changes made). predict pm2sd;(option p assumed; Pr(maoznewl))(133849 missing values generated). replace capopenl=8;(386556 real changes made). predict pmax;(option p assumed; Pr(maoznewl))(133849 missing values generated). summarize pmin p14mean p12mean p34mean pmean pm12sd pm1sd pm2sd pmax;    Variable |       Obs        Mean    Std. Dev.       Min        Max-------------+--------------------------------------------------------        pmin |    252707    .0083191    .0449743   .0000558   .8485359     p14mean |    252707    .0072467    .0406245   .0000465    .823581     p12mean |    252707    .0062935    .0365306   .0000388   .7955056     p34mean |    252707    .0054491    .0327014   .0000323   .7642412       pmean |    252707    .0047038    .0291414   .0000269   .7298203-------------+--------------------------------------------------------      pm12sd |    252707    .0039979    .0255915   .0000221   .6891738       pm1sd |    252707    .0033864    .0223553   .0000181   .6453836       pm2sd |    252707    .0024065    .0167925   .0000122   .5508004        pmax |    252707    .0016491    .0120944   8.01e-06   .4456693. drop pmin p14mean p12mean p34mean pmean pm12sd pm1sd pm2sd pmax;. replace capopenl=temppred;(384056 real changes made, 145956 to missing). drop temppred;. gen temppred=rgdppclo;(10018 missing values generated). gen tempprd2=gdpcontg;(10018 missing values generated). replace rgdppclo=221;(386482 real changes made). replace gdpcontg=rgdppclo;(386553 real changes made). predict pmin;(option p assumed; Pr(maoznewl))(212556 missing values generated). replace rgdppclo=221+((1/4)*(1760.643-221));rgdppclo was int now float(386556 real changes made). replace gdpcontg=rgdppclo;gdpcontg was int now float(386556 real changes made). predict p14mean;(option p assumed; Pr(maoznewl))(212556 missing values generated). replace rgdppclo=221+((1/2)*(1760.643-221));(386556 real changes made). replace gdpcontg=rgdppclo;(386556 real changes made). predict p12mean;(option p assumed; Pr(maoznewl))(212556 missing values generated). replace rgdppclo=221+((3/4)*(1760.643-221));(386556 real changes made). replace gdpcontg=rgdppclo;(386556 real changes made). predict p34mean;(option p assumed; Pr(maoznewl))(212556 missing values generated). replace rgdppclo=1760.643;(386556 real changes made). replace gdpcontg=rgdppclo;(386556 real changes made). predict pmean;(option p assumed; Pr(maoznewl))(212556 missing values generated). replace rgdppclo=1760.643+1958.456;(386556 real changes made). replace gdpcontg=rgdppclo;(386556 real changes made). predict pm12sd;(option p assumed; Pr(maoznewl))(212556 missing values generated). replace rgdppclo=1760.643+(2*1958.456);(386556 real changes made). replace gdpcontg=rgdppclo;(386556 real changes made). predict pm1sd;(option p assumed; Pr(maoznewl))(212556 missing values generated). replace rgdppclo=1760.643+(5*1958.456);(386556 real changes made). replace gdpcontg=rgdppclo;(386556 real changes made). predict pm2sd;(option p assumed; Pr(maoznewl))(212556 missing values generated). replace rgdppclo=31969;(386556 real changes made). replace gdpcontg=rgdppclo;(386556 real changes made). predict pmax;(option p assumed; Pr(maoznewl))(212556 missing values generated). summarize pmin p14mean p12mean p34mean pmean pm12sd pm1sd pm2sd pmax;    Variable |       Obs        Mean    Std. Dev.       Min        Max-------------+--------------------------------------------------------        pmin |    174000    .0031142      .02451   .0000103   .7821551     p14mean |    174000    .0030799     .024297   .0000102   .7797955     p12mean |    174000    .0030458    .0240854     .00001   .7774176     p34mean |    174000    .0030121     .023875   9.89e-06   .7750214       pmean |    174000    .0029787     .023666   9.76e-06    .772607-------------+--------------------------------------------------------      pm12sd |    174000    .0028136    .0226231   9.10e-06   .7600406       pm1sd |    174000    .0026566    .0216141   8.48e-06   .7470072       pm2sd |    174000    .0022303    .0187861   6.87e-06   .7051925        pmax |    174000    .0011817    .0110934   3.30e-06    .535058. drop pmin p14mean p12mean p34mean pmean pm12sd pm1sd pm2sd pmax;. replace rgdppclo=temppred;(386546 real changes made, 10018 to missing). drop temppred;. replace gdpcontg=tempprd2;(386546 real changes made, 10018 to missing). drop tempprd2;. end of do-file. exitno; data in memory would be lostr(4);. exit, clear